Day 2 :
- Fundementals of cheminformatics
Chemoinformatics and its applications
Cheminformatic tools for Drug discovery
Characterisation of biologically active compounds
Quantitative structure activity relationship
Bioinformatics
Sequence analysis of bioinformatics
Computational Chemical biology
Computational chemistry
Quantum Chemistry
Session Introduction
Xiche Hu
University of Toledo, USA
Title: Molecular Recognition of Drugs in Proteins – from 2D Molecular Descriptors to 3D Molecular Determinants for Drug Binding
Biography:
Xiche Hu received his PhD in Theoretical Chemistry from Wayne State University in 1991, and completed postdoctoral studies in computational chemistry and theoretical biophysics from University of California at Irvine and University of Illinois at Urbana-Champaign, respectively. He is an associate professor of chemistry at the University of Toledo, specializing in computational chemistry, advanced biomolecular modeling and cheminformatics. He has published more than 38 papers in reputed scientific journals, and is serving as an editorial board member of SM Journal of Bioinformatics and Proteomics.
Abstract:
What makes a molecule a drug, i.e., drug-likeness, is a question of great theoretical and practical importance in drug design. Pharmacokinetics and drug-target binding affinity are two equally important aspects of drug-likeness. The former was elegantly profiled by the Lipinski’s role-of-five which had a major influence on both the selection of compounds for high-throughput screening and the design of lead generation libraries over the last two decades. The latter has the promise to profoundly impact lead optimization in drug discovery. However, currently there exist no systematic guidelines that clearly delineate the molecular determinants for drug-target binding. We have carried out a cheminformatics analysis and a large-scale data mining of the Protein Data Bank to decipher molecular determinants for recognition of the FDA approved drugs by proteins. Non-bonded intermolecular interactions (hydrogen bonding, ï°ï€ï° stacking interactions, XHï€ï°ï€ ï€ (X=Cï€¬ï€ ïŽï€¬ï€ ïï€©ï€ interactionsï€¬ï€ and cationï€ï° interactions) between each drug and surrounding residues in its binding pocket were systematically profiled for 187 non-redundant, high-resolution crystal structures of drug-binding proteins. Furthermore, a high-level quantum chemical calculation was performed to quantify energetics of binding. In addition to confirming the importance of the widely known hydrogen bonding, it was discovered that the aromatic ï° moieties of drugs played a crucial role in drug-target binding through ï°ï€ï° stacking and CHï€ï° interactions. This work represents a challenging undertaking at a historical moment when a large number of X-ray crystallographic structures of drugs bound with their target proteins are available, and when high level quantum chemical analysis of intermolecular interactions of large biomolecules become feasible.
Roberto Todeschini
University of Milano-Bicocca, Italy
Title: N3 and BNN: Two new similarity based classification methods. An extended comparison with other classifiers
Biography:
Roberto Todeschini is a Full Professor of Chemometrics at the Department of Earth and Environmental Sciences of the University of Milano-Bicocca (Milano, Italy), where he constituted the Milano Chemometrics and QSAR Research Group. His main research activities concern chemo-metrics in all its aspects, QSAR, molecular descriptors, multi-criteria decision making and software development. He was the President of the International Academy of Mathematical Chemistry from 2008 to 2014 and is author of more than 180 publications in international journals and his last book is “Molecular Descriptors for Chemo-informatics†R. Todeschini and V. Consonni; Wiley-VCH, 2009.
Abstract:
Two novel classification methods, called N3 (N-Nearest Neighbors) and BNN (Binned Nearest Neighbors), are proposed. Both methods are inspired to the principles of the K-Nearest Neighbors (KNN) method, both based on object pair-wise similarities. Their performance was evaluated in comparison with eight well-known classification methods. In order to obtain reliable statistics, several comparisons were performed using 32 different literature data sets, which differ for number of objects, variables and classes. Results highlighted that N3 on average behaves as the most efficient classification method with similar performance to support vector machine based on radial basis function kernel (SVM/RBF). The method BNN showed on average slightly higher performance than the classical K-Nearest Neighbors method.
Deqiang Dou
Liaoning University of Traditional Chinese Medicine, China
Title: Integrative analysis of proteomics and metabolomics of anaphylactoid reaction induced by Xuesaitong injection
Biography:
Deqiang Dou has completed his PhD in 2000 from Shenyang Pharmaceutical University and postdoctoral studies from The State University of NewJersey, School of Medicine. He is the director of Department of Chinese Medicine Chemistry, Liaoning University of Traditional Chinese Medicine. He has published more than 200 papers in reputed journals and has been serving as an committee board member of World Federation of Chinese Medicine Societies etc..
Abstract:
Injection with natural compounds is an important method in the application of natural medicine, but its adverse drug reactions (ADRs) occur frequently, particularly the anaphylactoid reaction, which accounts for more than 77% of all reactions and has become a serious threat to public health. Here, the Xuesaitong injection (XSTI) was employed as an example to elucidate its anaphylactoid mechanism and look for potential biomarkers to assay the anaphylactoid reaction of herbal medicine injection by proteomics (iTRAQ method) and metabolomics. Proteins identification was performed using Mascot search engine against Uniprot database and 13 differential proteins were selected to further study, thus, Gpx1, Sc5b9 (C4d and Bb), F12, Kng1 and IgE which could be used as candidate biomarkers for the indication of direct stimulation, complement (classical and alternative), coagulation, kallikrein-kinin, and integrated pathways respectively were approved by ELISA method. And 28 differential metabolites were identified by METLIN, KEGG database, which were further approved by reference standards. Moreover, for a more detailed pathway analysis, the integrated pathway enrichment was analyzed using MetaboAnalyst 3.0, indicating XSTI-induced anaphylactoid reaction occurs via direct stimulation, complement and the kallikrein-kinin pathway and the effect substances include histamine, LTB4, uric acid and other metabolites are confirmed to be involved in arginine and proline metabolism, histidine metabolism, arachidonic acid metabolism, purine metabolism and the TCA cycle. Furthermore, separation experiments have indicated that 10-kDa molecules of XSTI are the main allergenic factor inducing an anaphylactoid reaction.
Cristiano Garino
Università del Piemonte Orientale, Italy
Title: In silico allergenicity prediction of several lipid transfer proteins
Biography:
Cristiano Garino joined the group of Food Chemistry in the Department of Drug Sciences of the University of Piemonte Orientale in 2005, and completed his PhD in Pharmaceutical and Food Biotechnologies in 2009. As postdoc, his main responsibilities are laboratory research and training of undergraduate students. Activities relates to the food molecular biology field (protein, RNA and DNA isolation, PCR and qPCR, production of recombinant proteins). Research Projects pointed towards the detection and characterization of hidden allergens and/or contaminants in foods, and to the protection of local food products through the setting up of molecular methods for the traceability/authenticity.
Abstract:
Non-specific lipid transfer proteins (nsLTPs) are common allergens particularly widespread within the plant kingdom. They have a highly conserved three-dimensional structure that generate a strong cross-reactivity. In the last years, several web tools for the prediction of allergenicity of new molecules based on their homology with known allergens have been released. The allergenicity of 28 amino acid sequences of nsLTPs homologues was predicted using seven publicly available web tools. Moreover, to evaluate their potential cross-reactivity, their similarity degree to their closest known LTP allergens was calculated. Finally, all sequences were studied for their identity degree with the prototype peach allergen Pru p 3. Most of the analysed sequences displayed a high probability to be allergenic according to all the software employed. The analysed LTPs from bell pepper, cassava, mango, mungbean and soybean showed high homology (>70%) with some known allergenic nsLTPs, revealing a potential risk of cross-reactivity for sensitized individuals. Other analysed amino acid sequences displayed a high degree of identity with Pru p 3 within the consensus sequence responsible for the formation, at three-dimensional level, of its major conformational epitope. Recent studies highlighted how in patients mono-sensitized to peach LTP the levels of IgE seem directly proportional to the chance of developing cross-reactivity to other nsLTPs, and these chances increase the more similar the protein is to Pru p 3. These proteins should be taken into special account for future studies aimed at evaluating the risk of cross-allergenicity in highly sensitized individuals.
Andrea Altieria
aEDASA Scientific srls., Italy
Title: 2-Phenyl-4,5,6,7-Tetrahydro-1H-indole Fragments as a Novel Anti-Hepatitis C Virus Research Tools
Biography:
Abstract:
Although all-oral direct-acting antiviral (DAA) therapy for hepatitis C virus (HCV) treatment is now a reality, today’s HCV drugs are expensive, and more affordable drugs are still urgently needed. In this work, we report the identification of the 2-phenyl-4,5,6,7-tetrahydro-1H-indole fragments that inhibits cellular replication of HCV genotype 1b and 2a subgenomic replicons.. The most potent fragment displayed EC50 values of 7.9 and 2.6 µM in genotype 1b and 2a, respectively. Biochemical assays showed that this fragment (39) had no effect on HCV NS5B polymerase, NS3 helicase, IRES mediated translation and selected host factors.
Jin Ouyang
Beijing Normal University, China
Title: Rapid high-throughput screening of small molecular drugs
Biography:
Jin Ouyang received her PhD degree from Ghent University, Belgium. She is the professor of analytical chemistry in College of Chemistry, Beijing Normal University, China. She is now working on the development of analytical methods to biological and pharmaceutical samples study and published over 90 papers in SCI journals.
Abstract:
Mass spectrometry (MS) provides a powerful method for high throughput screening (HTS) small molecular drugs because its high speed, sensitivity and property of label free. However, there were some limits for traditional MS methods in the application of high-throughput screening. Herein, we developed a simple interface which coupled droplet segmented system to a venturi easy ambient sonic-spray ionization mass spectrometry (V-EASI-MS). It is fabricated by using a single capillary to act as both sampling probe and the emitter, which simplifies the construction, reduces the cost and shorten the sampling time. Samples sucked by venturi effect are segmented to nanoliter plugs by air, then the plugs can be detected by MS directly. The new system has been applied to screen angiotensin converting enzyme inhibitors successfully. A house-made desorption electrospray ionization mass spectrometry (DESI-MS) is also established for high-throughput screening system. In addition, we have also synthesized new aggregation induced emission (AIE) compounds to apply as new matrics in the analysis of small molecules by MALDI-TOF-MS as well. The sensitivity of the AIE matrix is high because they decreased the generation of matrix interference.
Faheem Shehzad Baloch
Abant Izzet Baysal University, Turkey
Title: A whole genome DArTseq and SNP assay for diversity assessment in durum wheat adapted to Central Fertile Crescent
Biography:
Faheem Shehzad BALOCH has completed his PhD from Çukurova University, Adana, Turkey under combined fellowship program of Cultural Exchange Scholarship Scheme for PhD studies and Doctoral fellowship of TUBİTAK, Turkey. He is working as Assistant Professor at Abant İzzet Baysal University, Bolu, Turkey. His areas of research are genetic diversity and characterization, QTL mapping, Genoe wide association mapping of trait of interest using DNA molecular markers. I have more than 30 publication international peer reviewed journal and participated in several national and international conferences of repute. He took training and attended many advance course use of molecular markers in plant sciences at many European and American Universities. He also serves as an Editorial Board Member in some journals. He has several projects on molecular characterization of natural landraces collected from their area of origin, diversity and domestication, mapping QTL for trait of economic importance and many more.
Abstract:
The Fertile Crescent, particularly southeastern Turkey, is thought to be the primary center of wheat domestication and diversity. In spite of the importance of the genetic diversity from this area, a severe lack of information on the genetic structure of the durum wheat gene pool from this region is evident. For example, thus far, no efforts have been made to understand the genetic structure of the Anatolian durum wheat gene pool, despite its importance in durum wheat breeding. Limited studies have been conducted using genetic resources from Turkey and Syria. However, the landraces evaluated so far represent only a small subset of available resources; furthermore, they come from few geographic regions and do not allow the study of the genetic structure of durum wheat landraces in Turkey and Syria. Diversity Arrays Technology (DArTseq) and SNP marker systems were applied to durum wheat from Central Fertile Crescent countries. We focused on 91 accessions covering the whole geographical regions of Turkey and Syria collected by ICARDA to examine the pattern of variation and to check whether or not diversity in durum wheat is associated with geographical coordinates. Diversity Arrays Technology (DArT) is based on genotyping by sequencing technology and is a sequence-independent genotyping method that generates genome-wide genetic fingerprints. Here we used 61K DArTseq markers and 26K SNP to check the phylogenetic relationship and assess the genetic diversity in durum wheat landraces from Central Fertile crescent. It was evident that durum wheat landraces from the same geographical region were often placed in different groups in both neighbor joining analysis and principal component analysis indicating that grouping based on genetic parameters was not closely related to the geographical origin. The population structure was determined by using STRUCTURE software and five populations K=5 were identified among landrace through both marker systems. There was high diversity in durum wheat landraces and we also tested the association of geographical coordinated with both SNP and DArTseq distances and observed that genetic distance is not correlated with geographical coordinates. The wide diversity present in Turkish and Syrian durum wheat landraces could be used as genetic resource in designing breeding program for developing new cultivars adapted to different geographic and climatic conditions, and may also contribute to worldwide breeding programs. We are now using this genotypic data for genome wide association mapping for different traits of interest in durum wheat.
Vitaly Solovev
Russian Academy of Sciences, Russia
Title: Metal ions binding in water: Tools for organic ligands design
Biography:
Abstract:
Several tools for design of metal ion binders in water were realized to apply the consensus QSPR models based on sub-structural molecular fragments (SMF) as descriptors: property predictor, generator of virtual combinatorial libraries and interactive designer of compounds. The developed consensus models (CM) for predicting stability constants (log K) of the metal ion –organic ligand complexation are integrated in Forecast by Molecular Fragments (FMF) predictor. Ligands can be submitted as an SD file. The predicted log K are evaluated as an arithmetic mean of values obtained by numerous individual Multiple Linear Regression models excluding those leading to outlying values and being outside applicability domain (AD) of individual models. Three types of AD definitions can be used simultaneously or separately: bounding box, fragment control and ‘‘quorum control’’. Outlying predictions of some individual models are excluded from the CM by Thompson’s rule. Chemical editor Ed-ChemS includes a generator of virtual combinatorial libraries named Combi-Lib. various libraries are generated by attaching substituent to molecular scaffolds. Then the log K values for generated compounds are estimated by the FMF predictor. An interactive designer of organic compounds is realized by interaction of the chemical editor EdChemS with the FMF predictor using coloring of atoms of chemical formula according the SMF contributions. If molecular structure is edited on the screen by EdChemS, the FMF predicts the property interactively using loaded CM. Atoms of molecular formula are colored according to the SMF contributions of CM. Color depth of atom is double sum, where first sum includes contributions of molecular fragments containing given atom, and second sum includes all individual models of CM. The fragments and their contributions are convenient tools for the rationale design of the ligands with desirable thermodynamic stability of their complexes: the data manager EdiSDF estimates mean-fragment contributions according to a set of individual models in CM. The tools use the developed QSPR models for the stability constants log-K of the 1:1 (M: L) complexes of metal ions (M) with different classes of organic ligands (L) in aqueous solution at 298 K and an ionic strength 0.1 M. The CM were prepared by the ISIDA/QSPR program for 42 metal ions: Li+, Na+, K+, Be2+, Mg2+, Ca2+, Sr2+, Ba2+, Al3+, Ga3+, In3+, Pb2+, Y3+, La3+, VO2+, Mn2+, Fe2+, Fe3+,Co2+, Ni2+, Cu2+,Ag+, Zn2+, Cd2+, Hg2+, Ce3+, Pr3+, Nd3+, Sm3+, Eu3+,Gd3+, Tb3+, Dy3+, Ho3+, Er3+, Tm3+, Yb3+, Lu3+, Th4+, UO22+, NpO2+ and Am3+. Studied ligands are molecules of various organic classes and data sets from 883 (Cu2+) to 28 (Am3+) organic ligands. The models have reasonable prediction performance: root-mean squared error in external 5-fold cross-validations varies from 0.49 (Li+) to 2.30 (In3+) (the log K units) which is close to observed experimental systematic errors.
Biography:
Elisa Fasoli has completed her PhD in Neuroscience at the age of 28 years from Verona University and postdoctoral studies from Politecnico di Milano, Department of Chemistry, Materials and Chemical Engineering. She is Associate Professor, directing Proteomic laboratory focused on protein analysis through electrophoresis (SDS-PAGE and 2D-electrophoresis) and protein identification through mass spectrometry. Elisa Fasoli is coâ€author of 40 original peerâ€reviewed ISI papers (Hindex = 17), collecting more than 700 citations (source Web of Science). She has presented her scientific results in oral (9) and poster communications (more than 25) at national and international meetings.
Abstract:
Panax ginseng is a well-known Asian traditional herbal medicine, belonging to the genus Panax of the family Araliaceae, traditionally considered as a panacea, capable of treating all kinds of diseases. The present study aims at characterizing the Panax ginseng proteome in order to correlate protein properties with protective functions attributed to root by traditional oriental medicine. The Panax ginseng proteins were extracted from root powder and captured by using the combinatorial peptide ligand library technology. After SDS-PAGE separation, proteins were identified by nLC-MS/MS, by using an Orbitrap mass spectrometer, in order to extensively map the proteome for a consequent exploration of protein functions via Gene Ontology analysis. Moreover, also an interactomic map was built up by exploiting the STRING v.9.1 software, set on Arabidopsis Thaliana as organism database and a final peptidome analysis was performed by an in-silico human gastrointestinal digestion (Software ProteinProspector v 5.14.0, MS-Digest program set on UniProtKB Database). The proteomic fingerprinting of Panax gingseng yielded 209 unique gene products, searched in Uniprot_Arabidopsis Thaliana and Uniprot_Panax, with a prevalence of structural proteins and species connected with metabolic functions. The protein-protein interaction network was formed by 196 nodes and 1554 interactions and from all generated peptides (660), 6 have demonstrated a potential antimicrobial action. The present study has contributed not only to map the Panax ginseng proteome and its peptidome, but also to correlate proteomic data with biological functions in order to understand the medical properties that have made so popular this root in traditional oriental medicine.
Rhazi Naima
IUT des Pays de lAdour, France
Title: Higher yield extraction of condensed tannins from Moroccan bark of Acacia mollissima using experimental design
Biography:
Rhazi Naima is a PhD Student and has co-supervised thesis between the University of Pau et des Pays d’Adour (France) and University Hassan II (Morocco). Her subject in PhD entitled “Elaboration of ecological adhesives and bio-composites from Moroccan Acacia mollissima Barksâ€. She has a specialized Master degree in Quality Control of Food, Pharmaceutical and Cosmetics Industries and has training in Integrated Management System: Health, Quality, Safety and Environment in food alimentary and plastics center. She has given 5 oral presentations, 2 posters in international workshops and conferences and also published 2 papers in reputed journals: Industrial Crops and Products and Arabian Journal of Chemistry.
Abstract:
In order to increase the yield extraction of condensed tannins, to preserve the quality and the reactivity of phenolic compounds extracted and also to find new environmentally-friendly extraction conditions a response surface methodology (RSM) was used. This methodology was an effective and powerful statistical method to optimize extraction process while giving a maximum of information, reducing number of experimental trials required and giving the best precision of the results calculated with the established model. The development of the experimental design was described by Rhazi et al., (2015 a). RSM was used to identify the significant factors to improve yield extraction, to reduce solvent proportion and time extraction. It permit to model extraction conditions and also to determine optimal conditions, which give higher yield of condensed tannins using lower proprtion of solvent and shorter time extraction. The present study aims to develop green extraction process of phenolic compounds extracted from Moroccan barks of Acacia mollissima using a traditional maceration. The parameters studies in this research are time extraction (X1), methanol proportion (X2) and bark ages (X3). The result of RSM showed a good agreement between the predicted and experimental values (R2= 0.98; 0.97 and 0.99 respectively for the extracts).
Ahmed Haroun
National University of Singapore, Singapore
Title: Micro vibration energy harvesters for low frequency operation
Biography:
Ahmed Haroun has completed his PhD from University of Tokyo in Mechanical Engineering. He is currently a Post-doctoral research fellow at National University of Singapore (NUS) and holding the position of Lecturer Assistant at Cairo University. His research interests include energy harvesting for implantable and wearable devices; MEMS-based energy harvesting; MEMS sensors and actuators, Implantable bio-MEMS; Vibration energy harvesting and Dynamics of multi-body systems.
Abstract:
Self-powering of wireless sensors and wireless micro devices attract the attention of many researches nowadays. Problems associated with chemical batteries such as limited life time and minimization restrictions can be solved using the approach of energy harvesting. Various ambient energy sources such as vibration, thermal, light, wind, etc. could be harvested and converted into electrical energy. However, vibration energy harvesting is more convenient for important kinds of applications such as machine condition monitoring, where sensors are placed in a deep dark place and human body-powered devices whether they are wearable or implantable. Some problems arise when dealing with human motion energy harvesting. Human body provides a kind of unsteady low frequency vibrations which are difficult to match by most common resonant harvesters. Instead, a way of non-resonant low frequency energy harvesting should be used. In this speech, a micro electromagnetic non-resonant energy harvester based on free/impact motion will be presented. Free relative motion is allowed between tube-carrying an electrical coil directly connected to the vibration source and a permanent magnet inside. Impacts appear between the magnet and two hard end stops. Free motion enhances power harvesting at low frequency, while combined free/impact motion results in a non-resonant behavior in which the output power increases with input amplitude and/or frequency. In addition, the harvester has a simple construction which allows fabrication with small sizes. Hence, the harvester can be well suited for small size applications encountered variable large amplitude – low frequency vibrations such as human powered devices.
Elyette Martin
Philip Morris International, Switzerland
Title: QSPR model development to simplify compound identification in complex matrix analysis
Biography:
Elyette Martin is a computational chemistry scientist at Philip Morris R&D in the cheminformatics team. She received her PhD in Molecular Biology from the Strasbourg University (France) before working at the Institut de Recherche Servier, a French pharma company, in a postdoctoral position. At Philip Morris she manages the corporate chemical and spectral database and cheminformatics development (properties calculation, development of QSAR models…).
Abstract:
In order to assess and evaluate the toxicity of new products in a wide range of industrial settings (e.g., food and beverage, cosmeceutical industries), it is important to understand their chemical composition. Non-targeted screening of small molecules in complex matrices can be performed using various analytical techniques such as gas chromatography coupled to mass spectrometry. However, compound identification using a conventional mass spectral library search, e.g., NIST MSSearch, generally does not provide sufficient confidence regarding the proposed structures. The application of cheminformatics provides analytical chemists with tools to increase the accuracy for identifying compound structures, and to accelerate and standardize the identification process. QSPR (Quantitative Structure Property Relationship) models predict retention times and/or indices for all constituents potentially present in the complex matrix. These predicted retention times/indices enhance the level of confidence in the correct assignment of mass spectra to the right compounds. This poster presents QSPR models, which have been developed using different methodologies/algorithms and software tools, including ChromGenius (ACDLabs), RapidMiner, Dragon, and Pipeline Pilot. It describes the improvement afforded by such tools for elucidating the chemical composition of Reduced-Risk Products developed by Philip Morris.
Rhazi Naima
IUT des Pays de lAdour, France
Title: Higher yield extraction of condensed tannins from Moroccan bark of Acacia mollissima using experimental design
Biography:
Rhazi Naima is a PhD Student and has co-supervised thesis between the University of Pau et des Pays d’Adour (France) and University Hassan II (Morocco). Her subject in PhD entitled “Elaboration of ecological adhesives and bio-composites from Moroccan Acacia mollissima Barksâ€. She has a specialized Master degree in Quality Control of Food, Pharmaceutical and Cosmetics Industries and has training in Integrated Management System: Health, Quality, Safety and Environment in food alimentary and plastics center. She has given 5 oral presentations, 2 posters in international workshops and conferences and also published 2 papers in reputed journals: Industrial Crops and Products and Arabian Journal of Chemistry.
Abstract:
In order to increase the yield extraction of condensed tannins, to preserve the quality and the reactivity of phenolic compounds extracted and also to find new environmentally-friendly extraction conditions a response surface methodology (RSM) was used. This methodology was an effective and powerful statistical method to optimize extraction process while giving a maximum of information, reducing number of experimental trials required and giving the best precision of the results calculated with the established model. The development of the experimental design was described by Rhazi et al., (2015 a). RSM was used to identify the significant factors to improve yield extraction, to reduce solvent proportion and time extraction. It permit to model extraction conditions and also to determine optimal conditions, which give higher yield of condensed tannins using lower proprtion of solvent and shorter time extraction. The present study aims to develop green extraction process of phenolic compounds extracted from Moroccan barks of Acacia mollissima using a traditional maceration. The parameters studies in this research are time extraction (X1), methanol proportion (X2) and bark ages (X3). The result of RSM showed a good agreement between the predicted and experimental values (R2= 0.98; 0.97 and 0.99 respectively for the extracts).
- Cheminformatics Tools For Drug Discovery
Characterisation of biologically active compounds
Statistics For Cheminformatics
Glance of system chemistry
Session Introduction
Kamel Bouallegue
University of Gafsa, Tunisia
Title: Phenomenological Modeling and Intensification of Texturing/Grinding assisted Solvent Oil Extraction from Date Seeds (Phoenix Dactylifera L.)
Biography:
Abstract:
ASE (Accelerated Solvent Extraction) and DM (Dynamic Maceration) were used with n-hexane to study the extraction of oil from date seed powders with different particle sizes. The intensification was studied with instant controlled pressure drop (DIC) as texturing pretreatment. DM yields increased from 4.57% to 10.49±0.05% dry-dry basis (ddb) when particle size decreased from 1.4 to 0.2 mm. For coarsely grounded seed powder, ASE oil yields were 11.35±0.05% ddb and 14.15% ddb for untreated and DIC date-seeds, respectively. Optimized DIC pretreatment allowed the smallest particle size powder to get 15.2±0.05% ddb as ASE yields, whilst the 2-h DM yields increased from 4.67 to 11.62±0.05% ddb for particle size decreasing from 1.4 to 0.2 mm, respectively. Fundamental analysis of various powders was achieved through washing-diffusion phenomenological model. DIC texturing implied higher washing stage, with relative starting accessibility 〖%δY〗_s of 70% against 55% for untreated particles. Consequently, the diffusion stage time was dramatically reduced, without great modification of effective diffusivity Deff value. Therefore, DIC ground seeds greatly enhanced the mass transfer mechanism. The evaluation of starting accessibility 〖δY〗_s enables to establish an empirical relationship between 〖δY〗_s and particle diameter 〖δY〗_s=f(D). Finally, DIC texturing did not imply any modification of the lipid profile.
Biography:
Hiba Zalloum is a Researcher in Hamdi Mango Center for Scientific Research at the University of Jordan. She holds a Master’s degree in Chemistry from The University of Jordan. Her practical research dealt with the synthesis, chelation and sorption properties of chelating polymers. Recently, her research interest is turning to molecular modeling and drug discovery field. She has 15 publications, 13 ISI-published articles, 2 book chapters and is now running 6 funded research projects.
Abstract:
To discover potential antitumor agents directed toward human epidermal growth factor receptor-2 HER2/ErbB2 overexpression in cancer, we have explored the pharmacophoric space of 115 HER2/ErbB2 inhibitors. This identified 240 pharmacophores which were subsequently clustered into 20 groups and cluster centers were used as 3D-pharmacophoric descriptors in QSAR analysis with 2D-physicochemical descriptors to select the optimal combination. We were obliged to use ligand efficiency as the response variable because the logarithmic transformation of bioactivities failed to access self-consistent QSAR models. Two binding pharmacophore models emerged in the optimal QSAR equation, suggesting the existence of distinct binding modes accessible to ligands within the HER2/ErbB2 binding pocket. The QSAR equation and its associated pharmacophore models were employed to screen the National Cancer Institute (NCI) and Drug Bank Databases to search for new, promising, and structurally diverse HER2 inhibitory leads. Inhibitory activities were tested against HER2-overexpressing SKOV3 Ovarian cancer cell line and MCF-7 which express low levels of HER2. In silico mining identified 80 inhibitors out of which four HER2 selective compounds inhibited the growth of SKOV3 cells with IC50 values<5 µM and with virtually no effect in MCF-7 cells. These lead compounds are excellent candidates for further optimization. Further screening on different breast cancer cells with different HER2 expression patterns has been done.
Rhazi Naima
University of Hassan II Casablanca, Morocco
Title: Higher yield extraction of condensed tannins from Moroccan bark of Acacia mollissima using experimental design
Biography:
Rhazi Naima is a PhD Student and has co-supervised thesis between the University of Pau et des Pays d’Adour (France) and University Hassan II (Morocco). Her subject in PhD entitled “Elaboration of ecological adhesives and bio-composites from Moroccan Acacia mollissima Barksâ€. She has a specialized Master degree in Quality Control of Food, Pharmaceutical and Cosmetics Industries and has training in Integrated Management System: Health, Quality, Safety and Environment in food alimentary and plastics center. She has given 5 oral presentations, 2 posters in international workshops and conferences and also published 2 papers in reputed journals: Industrial Crops and Products and Arabian Journal of Chemistry.
Abstract:
In order to increase the yield extraction of condensed tannins, to preserve the quality and the reactivity of phenolic compounds extracted and also to find new environmentally-friendly extraction conditions a response surface methodology (RSM) was used. This methodology was an effective and powerful statistical method to optimize extraction process while giving a maximum of information, reducing number of experimental trials required and giving the best precision of the results calculated with the established model. The development of the experimental design was described by Rhazi et al., (2015 a). RSM was used to identify the significant factors to improve yield extraction, to reduce solvent proportion and time extraction. It permit to model extraction conditions and also to determine optimal conditions, which give higher yield of condensed tannins using lower proprtion of solvent and shorter time extraction. The present study aims to develop green extraction process of phenolic compounds extracted from Moroccan barks of Acacia mollissima using a traditional maceration. The parameters studies in this research are time extraction (X1), methanol proportion (X2) and bark ages (X3). The result of RSM showed a good agreement between the predicted and experimental values (R2= 0.98; 0.97 and 0.99 respectively for the extracts).
Ouahab Ammar
Batna University, Algeria
Title: Simulation study of the mechanism of uptake of cell-pentrating peptides in cancer cells
Biography:
Ouahab Ammar has completed his PhD from China Pharmaceutical University. He is an Assistant Professor in the Department of Pharmacy at Batna University. He has succefully developed a novel oral delivery system of indomethacin for Roche-Hoffman when he was a Master’s student. He has been active in research on new smart drug delivery systems and has published 12 papers in reputed journals.
Abstract:
It is somehow easy to understand why it is still so controversial the mechanisms of cellular uptake of Cell-Penetrating Peptides (CPP). Although there is evidence that these peptides are capable of directly crossing the plasma membrane without any intermediate step, still several researchers claim that endocytosis is an intermediate step required for entry into the cells. It is well known that ionic interactions play a critical role for the binding to the plasma membrane and translocation of CPPs. A simulation of the interaction between arginine-glycine (RG)5 and histidine-glutamic acid (HE)5, as well as with DOPC of the lipid bilayer was conducted in order to calculate the free binding energy. The results supported the data obtained in the in vitro release, cell uptake and cytotoxicity studies. The absolute value of binding energy of (RG)5 with (HE)5 was the highest. However, a decrease in the pH was found to diminish this strong bond. Interestingly, the conjugation of (RG)5 to PEG-PLA copolymer increased the binding energy to DOPC. In summary, the peptides tend to interact with the cell membrane which facilitates the uptake in an energy and receptor independent manner as postulated by many researchers.
Maldonado-RodrÃguez R
National Polytechnic Institute, Mexico
Title: VAMPhyRE a novel way to produce Virtual Genomic Fingerprints useful to construct phylogenomic trees with homologous k-mers which can be used to reveal key sequences
Biography:
Abstract:
Our research group has created a new strategy for phylogenenomic constructions. This procedure is free of the errors associated to sequence alignments and, for bacteria, uses as homologous characters, shared and distinctive 21-mers located in any of both DNA strands and, having identical sequences or single base substitutions when shared. Two, intellectually protected components, are used for this purpose. The Virtual Analysis Method for Phylogenomic fingeRprint Estimation (VAMPhyRE) and the VAMPhyRE Probe Set (VPS). For bacteria, VPS-13 is used, which is constituted by 15,264 13-mer sequences, which were selected from all the 67,108.864 13-mer possible sequences, by shuffling, and extracting those sequences having 35-65% GC, high sequential entropy and at least two internal and spaced sequence differences. VAMPhyRE selects the 21-mer homologous sequences using a three step procedure. First searches genomic 13-mer sequences having identical or single target/probe differences. Then takes each 13-mer target sequence found by one probe, and extends it to 21-mer, by adding the 4 bases located at both flanks in the respective targets. These are the virtual genomic fingerprints (VGF). Finally it compares each of the 21-mer sequences present in one strain with the 21-mer sequences found by the same probe in the other strains to mark them as shared, when they have at least 19 identities, or distinctive homologous hits. This information is used to calculate distance scores and to construct the phylogenomic trees. This strategy has been successfully applied to Bacillus anthracis, Mycobacterium and other Actinomycetes. Since the genomic 21-mers found under our strategy correspond to conserved sequences they have key molecular roles, such as transport, catalysis, production of energy, regulation, biosynthesis, etc. and therefore, they perform essential biological roles such as, the capability to grow in different environments or hosts, to cause disease, or to produce substances of interest. Therefore, these VGF are a source of sequences which in combination with the respective phylogenomic tree, the genomic databases and the biological properties, can be used for diverse biotechnological applications such as diagnostics, metagenomic analysis, resistance, virulence, markers of strains of industrial interest, etc. We currently are working in data mining of this information. The following scheme illustrates the information included in the previous abstract.
Ali Salman Bin Thani
University of Bahrain College of Science,Bahrain
Title: Evaluation of the mobile content in Magnetospirillum magneticum AMB-1 genome using bioinformatical approaches reveals a new genome size for the magnetosome island
Biography:
Dr Bin Thani graduated with a BSc degree from The University of Bahrain, Kingdom of Bahrain in 1998. He completed his Master study on Medical Biotechnology from the Arabian Gulf University, Kingdom of Bahrain. In 2004, he started his PhD study under the supervision of Dr Kumar Rajakumar from the University of Leicester, UK. His research project in the PhD had involved in silico analysis of bacterial DNA sequences and the use of different bioinformatic approaches (e.g., tRNAcc and MobilomeFINDER) to elucidate possible functions for novel DNA sequences.
Abstract:
After completing its sequence/annotation in 2005, Magnetospirillum magneticum AMB-1 had become one of the most important magnetotactic genomes used to facilitate analysis of the magnetosome formation process. In this paper we investigate the genome contents of AMB-1 and other magnetotactic bacteria to demonstrate the size of mobile genome and number of conserved genes in M. magneticum AMB-1. The preliminary analysis presented here shows the mosaic structure of these genomes. 100 genomic islands were identified in AMB-1 by IslandPick. Moreover, the size of AMB-1 magnetosome island (MAI), previously known to be 100 kb, was re-estimated to be in the size range of 110 kb. Thus more genes were included to be part of this GI. The investigation included the use of comparative approaches to elucidate conserved protein coding sequences. 13 CDS were identified to be conserved among three magnetotactic genomes. One CDS (amb3135) was conserved in five magnetotactic genomes. The amino acid sequence for this CDS (amb3135) was used to draw a phylogenetic tree among magnetotactic bacteria. The phylogeny based on amb3135 is in concordance with previous studies indicating a close relationship between strain AMB-1 and other Magnetospirillum species
Anil K. Saxena
CSIR-Central Drug Research Institute, India
Title: Design and synthesis of novel mycobacterial ATP synthase inhibitors against both replicating and non-replicating M. tuberculosis.
Biography:
Dr. A.K. Saxena, is actively involved in the domain of Medicinal Chemistry & CADD, drug discovery and development research. He has 45 years of research experience with 200 research publications, 19 reviews/articles in books and/monographs, 72 patents and has delivered >180 invited lectures, chaired >45 sessions. He is Fellow of Royal Society of Chemistry, UK, Editorial Board Member of different prominent journals like, Medicinal Chemistry Research, SAR and QSAR in Environmental Research, online International journal ARKIVOC, and Patent Evaluator: Current Drugs, U.K. He is also series editor for book series “Topics in Medicinal Chemistry†published by Springer Verlag.
Abstract:
In recent years tuberculosis (TB) chemotherapy is dependent on drugs targeting bacterial metabolism with bactericidal action having no effect on dormant or latent or metabolically inactive bacilli that target cell division. The ATP synthase is a ubiquitous enzyme in energy metabolism due to its involvement in the generation of sufficient amount of ATP and/or in generating a proton motive force (PMF) in mycobacteria during adverse conditions of low oxygen environment and nutrient deficiency. This pivotal role of ATP synthase is targeted by the diarylquinoline TMC207 that kills Mycobacterium tuberculosis. Utilizing the state-of-the-art medicinal chemistry approach the quinoline class of aryl-sulfonamides has been identified as potent, orally bioavailable and selective mycobacterial ATP synthase inhibitors. Among a series of compounds synthesized which were effective in vitro on ATP synthase, the lead compound [N-(7-chloro-2-methylquinolin-4-yl)-N-(3-((diethylamino)methyl)-4-hydroxyphenyl)-2,3-dichlo-r obenzene sulfonamide] exhibited excellent selectivity (mycobacterium ATPase IC50 = 0.51 µM, mammalian ATPase IC50 >100 µM, and selectivity >200) and is also active in the hypoxic culture of non replicating M. tuberculosis at 100 µg/mL (32-fold of its MIC) as compared to positive control isoniazid [approximately 0.2 log10 reduction in CFU at 5 lg/mL (50-fold of its MIC)]. Docking of the best compound on homology modeled ATP synthase revealed the participation of the protonated tertiary amine and hydroxyl group to interact with the carboxylate oxygen of Glu61 that is similar to TMC207. The study provides a deep understanding about the structural requirements for ATP synthase inhibitors helpful in the discovery of novel chemical entities.
Biography:
Abstract:
Herein, we report the synthesis of ruthenium(II) hydride carbonyl complex containing benzoyl pyridine as a co-ligand. The complex has been examined for C, H, N elemental analysis, infrared and UV-Visible spectroscopy including the determination of decomposition temperature and cyclic voltammetry as well. Moreover, Gaussian 09W software package has been employed to carry out the quantum chemical studies. Triphenylphosphine (Tpp), Benzoyl Pyridine (bpy) and the [RuHCl(CO)(bpy)(Tpp)] complex have been separately optimized at the reliable level of theory using ab initio, semi-empirical and DFT methods. AM1 and PM6 have been applied for ligands and the complex, respectively. HF level of theory, AM1/PM6 and DFT based simulated frequencies have been manipulated to arrive at the computational thermo chemistry and energetics of the involved compounds. The DFT calculations with Becke-3–Lee–Yang–Parr (B3LYP)/6-31G and B3LYP/LANL2DZ combinations were used. TD-DFT speculation has also been introduced to infer the CO-releasing ability in the target compound and has been proven as an effective CO releaser at the cost of visible range of electromagnetic radiation. In vitro cell viability tests against COLO-205 human cancer cells have also been carried out with regard to the complex. MTT based cell toxicity studies of [RuHCl(CO)(PPh3)3] and [RuHCl(CO)(bpy)(PPh3)], have revealed the model complex as an excellent anticancer agent. From IC50 values of 53 in case of former and of 40 in the later, it establishes that latter bears more antiproliferative potential.
Nuzhat Gull
Govt. Degree College for Women, India
Title: Secondary structural changes in Guanidinium hydrochloride denatured Mammalian serum albumins and protective effect of Small amounts of Cationic Gemini Surfactant Pentanediyl-a, m-bis(cetyldimethylammonium Bromide) and methyl-[l-cyclodextrin: A Spectroscopic Study
Biography:
Dr‘ Nuzhat Gull has completed her PhD from A.M.U‘ Aligarh at the age of 30 years and has served as a Research Associate at University of Kassmir, Srinagar-India. She has published 12 articles in reputed journals and is presently working as an Asst. Prof‘ In Dept‘ of Chemistry,Govt Degree College for Women,MA Road, Srinagar‘
Abstract:
In the present study the cationic gemini surfactant assisted refolding of guanidinium hydrochloride (GndHcl) denatured mammalian serum albumins viz. sheep serum albumin (SSA), rat serum albumin (RSA) and porcine serum albumin (PSA) using a combination of cationic gemini surfactants, pentanediyl-a,w-bis(cety|dimethylammonium bromide (C16H33(CH3)2N+—(CH2)5—N+(CH3)2C16H33).2Br-designated as GS and methyl- [3-cyclodextrin in the artificial chaperone assisted two step method, is attempted The studies were carried out in an aqueous medium (pH 7‘4) using dynamic light scattering (DLS), circular dichroism (CD), and fluorescence spectroscopy‘ A perusal of DLS data indicates that against the native hydrodynamic radius (Rh) of 43 nm in SSA, 3.9 nm in PSA and 35 nm in RSA, the Rh of the said proteins, when refolding is attempted by simple dilution, increases to 217nm, 36.6 nm and 372 nm, respectively‘ Hydrodynamic radii very near to the native protein, Le, 40 nm, 41 nm and 4.4 nm for RSA, PSA and SSA respectively, is obtained on the sequential addition of GS and methyl-B-cyclodextrin to the denatured protein. Circular dichroism studies corroborate with the DLS data. The results obtained from the multi-technique approach are ascribed to the presence of two charged head-groups and two hydrocarbon tails in the gemini surfactants resulting in very strong electrostatic and hydrophobic interactions Based on the present study it is suggested that gemini surfactants may be utilized in the protein refolding studies and thus may address one of the most pressing demand of biotechnology industry for the development of efficient and inexpensive folding aides.
R C Maurya
R D University, India
Title: Metal-bonding chemistry of Nitric Oxide (NO) and Carbon Monoxide (CO) (two toxic gasses) in beneficial role of mankind: Synthesis, characterization and quantum chemical DFT studies of some novel nitrosyl and carbonyl compounds of industrial, environmental and biomedical importance
Biography:
Abstract:
Nitric oxide was first discovered as a colorless, toxic gas in 1772 by Joseph Priestly. Unfortunately, the tag of toxic gas and air pollutant continued until 1987, when it was shown to actually be produced naturally in the body. By 1987, nitric oxide’s role in regulating blood pressure and relieving various heart ailments became well-established. Very recently, researches revealed that nitric oxide is used by macrophages to kill tumor cells and bacteria. In 1992, nitric oxide was voted ‘Molecule of the Year’. The importance of the molecule became front page news in 1998 when Louis J Ignerro, Robert F Furchgott and Ferid Murad were awarded the Nobel Prize for Medicine and Physiology for identifying nitric oxide as a signaling molecule. The discovery has opened up newer ways of treatment for millions of patients. Endogenously produced by the enzyme NO Synthase (NOS), NO has been found to be an essential component in many physiological processes, such as cytotoxicity, neural-transmission and blood pressure regulation, and dysfunction in NO metabolism has been associated in a number of disease states, such as epilepsy, arthritis, diabetes, hypertension, and septic shock. In particular, the so-called NO donor drugs could have an important therapeutic effect on the treatment of many cardiovascular diseases such as angina pectoris (chest pain) and hypertension. The organic nitrate and nitrite esters, including nitroglycerin, amyl nitrite, isosorbide dinitrate and nicorandil, have been used in the treatment of cardiovascular diseases for many years. Unfortunately, the development of tolerance to these compounds limits its use as NO donor. Current interest in exogenous NO-donor drugs has focused on the design and synthesis of new drugs with improved pharmacokinetic properties. The search for new storage release systems, capable of delivering NO to desired targets, has stimulated the chemistry of metal nitrosyl complexes. Catalytic applications of transition metal nitrosyl complexes are of current interest to organometallic and organic chemists. Another stimulus to investigating NO reactivity of metal nitrosyl complexes, has been the developments in pollution control, largely stemming from attempts to remove, or at least diminish the concentration of NO in exhaust gases emitted by the internal combustion engine. Certain dinitrosyl complexes of transition metals were found to catalyze the conversion of CO and NO to the less harmful gases CO2 and N2O, which is of intrinsic interest because of their environmental relevance. In recent years, CO has also been shown to play a key role in human physiology. Depending upon its concentration CO molecule exhibits distinct physiological or pathological effects. CO releasing molecules have shown promises in controlling tissue damage. Hence, search for new and effective CO donors for controlled delivery to biological targets is of utmost importance. In view of above, this talk, therefore, primarily focuses our recent work related to the synthesis, characterization and quantum mechanical DFT computational studied of some recently reported metal nitrosyls and carbonyls form our laboratory. For making this talk interesting, this presentation will begin with basics of nitrosyl and carbonyl chemistry along with scope of these compounds in the beneficial role of mankind.
Ahmed Haroun
National University of Singapore Singapore
Title: Micro vibration energy harvesters for low frequency operation
Biography:
Ahmed Haroun has completed his PhD at the age of 28 years from University of Tokyo in Mechanical Engineering, He is currently a postdoctoral research fellow at National University of singapore (NUS), and holding the position of lecturere assistant at Cairo University. His research interests include energy harvesting for implantable and wearable devices; MEMS-based energy harvesting; MEMS sensors and actuators, Implantable bio-MEMS; Vibration energy harvesting; Dynamics of multibody systems.
Abstract:
Self-powering of wireless sensors and wireless micro devices attract the attention of many researches nowadays. Problems associated with chemical batteries such as limited life time and minimization restrictions can be solved using the approach of energy harvesting. Various ambient energy sources such as vibration, thermal, light, wind, etc. could be harvested and converted into electrical energy. However, vibration energy harvesting is more convenient for important kinds of applications such as machine condition monitoring, where sensors are plased in a deep dark place, and human body-powered devices whether they are wearable or implantable. Some problems arise when dealing with human motion energy harvesting. Human body provides a kind of unsteady low frequency vibrations which are difficult to matched by most common resonant harvesters. Instead, a way of non-resonant low frequency energy harvesting should be used. In this speech, a micro electromagnetic non-resonant energy harvester based on free/impact motion will be presented. Free relative motion is allowed between tube-carrying an electrical coil directly connected to the vibration source and a permanent magnet inside. Impacts appear between the magnet and two hard end stops. Free motion enhances power harvesting at low frequency, while combined free/impact motion results in a non-resonant behavior in which the output power increases with input amplitude and/or frequency. In addition, the harvester has a simple construction which allows fabrication with small sizes. Hence, the harvester can be well suited for small size applications encountered variable large amplitude – low frequency vibrations such as human powered devices.
Muthukumarasamy Karthikeyan
CSIR-National Chemical Laboratory, India
Title: MegaMiner: A tool for lead identification through text mining using chemoinformatics tools and cloud computing environment
Biography:
Muthukumarasamy Karthikeyan obtained his Bachelors and Masters Degree in Chemistry from Pondicherry University and Ph.D. (Chemistry) from National Chemical Laboratory (University of Pune) in the area of Organic Synthesis. He joined CSIR -National Chemical Laboratory, Pune as a senior scientist in the year 2000 and since then he is pursuing his active research career in Chemoinformatics especially in the area of high performance computing for molecular informatics and its application in lead identification and lead discovery. He is also the recipient of BOYSCAST Fellowship from Department of Science and Technology, and Long term Overseas Associateship from Department of Biotechnology to conduct research in the area of molecular informatics and structure-activity relationship studies at University of North Carolina at Chapel Hill, USA. His current interest includes development of open-source tools for virtual screening in drug discovery and he recently published ten consecutive research articles on this theme. Other important areas of research in molecular informatics includes structure-activity relationships, molecular dynamics simulation, Chemical Reaction Modeling and in visual computing for molecular informatics (ChemRobot), hybrid computing (distributed, parallel, cloud) using multicore CPU-GPU processors as a web-based problem solving environment in chemical informatics.
Abstract:
Virtual screening is an indispensable tool to cope with the massive amount of data being tossed by the high throughput omics technologies. With the objective of enhancing the automation capability of virtual screening process a robust portal termed MegaMiner has been built using the cloud computing platform wherein the user submits a text query and directly accesses the proposed lead molecules along with their drug-like, lead-like and docking scores. Textual chemical structural data representation is fraught with ambiguity in the absence of a global identifier. We have used a combination of statistical models, chemical dictionary and regular expression for building a disease specific dictionary. To demonstrate the effectiveness of this approach, a case study on malaria has been carried out in the present work. MegaMiner offered superior results compared to other text mining search engines, as established by F score analysis. A single query term 'malaria' in the portlet led to retrieval of related PubMed records, protein classes, drug classes and 8000 scaffolds which were internally processed and filtered to suggest new molecules as potential anti-malarials. The results obtained were validated by docking the virtual molecules into relevant protein targets. It is hoped that MegaMiner will serve as an indispensable tool for not only identifying hidden relationships between various biological and chemical entities but also for building better corpus and ontologies.
Rhazi Naima
University of Hassan II Casablanca, Morocco
Title: Modeling and optimization extraction process of phenolic extracts obtained from Moroccan Acacia mollissima using experimental design methodology
Biography:
Rhazi Naima is a PhD Student and has co-supervised thesis between the University of Pau et des Pays d’Adour (France) and University Hassan II (Morocco). Her subject in PhD entitled “Elaboration of ecological adhesives and bio-composites from Moroccan Acacia mollissima Barksâ€. She has a specialized Master degree in Quality Control of Food, Pharmaceutical and Cosmetics Industries and has training in Integrated Management System: Health, Quality, Safety and Environment in food alimentary and plastics center. She has given 5 oral presentations, 2 posters in international workshops and conferences and also published 2 papers in reputed journals: Industrial Crops and Products and Arabian Journal of Chemistry.
Abstract:
Response surface methodology (RSM) was an effective and powerful statistical method to optimize the extraction process while giving a maximum of information, reducing the number of experimental trials required and giving the best precision of the results calculated with the established model. The experimental design used permit to determine the factors which had a dominating influence on the required properties, to choose the favorable levels of certain factors, to model the response using a mathematical model and also to optimize the multi-criteria of the process. In this study, we used this methodology to optimize extraction process of poly-phenols and tannins extracted by microwave from Moroccan barks of Acacia mollissima. The variables studied are: time extraction (X1), methanol proportion (X2) and microwave power (X3). The responses measured were: poly-phenols yields (Y1) and condensed tannins yield (Y2). The results of this study were evaluated with colorimetric assays. A face-centered composite design (FCCD) was applied to evaluate the effects of these variables on the phenolic compounds contents. RSM applied in microwave assisted extraction, permitted to develop green extraction process of poly-phenols and tannins extracted, using lower microwave power and methanol proportion with a shortest time extraction and in the same time improve the quantity of extractives obtained from renewable natural resource.
Shalini Singh
Bareilly College, India
Title: Chemometric modeling and in silico design of Tumor-Associated Carbonic Anhydrases IX inhibitors
Biography:
Abstract:
Coumarins such as [1], a natural product secluded from the Australian plant Leionema ellipticum, P. G. Wilson (Rutaceae), or the simple unsubstituted coumarin [2], were detected to act as effective inhibitors of the metalloenzyme carbonic anhydrase (CA, EC 4.2.1.1)[1−3]. Substituted coumarin such as sulfocoumarins (1,2-benzoxathiine 2,2-dioxides) possessing are the most important[4] class of Potent and Isoform-Selective Inhibitors of Tumor-Associated Carbonic Anhydrases CA IX[4]. I have attempted to build QSAR models using the OMEGA, MOPAC, PRECLAV, DRAGON and BROOD software to explore the correlations between the calculated molecular descriptors on the pool of 16 compounds and their experimental CAIX inhibitory activities. The quality of prediction is high enough (SE =0 .1680, r2=0 .9483; F 128.4198, Q= 8539). The virtual molecular fragment that lead to a significant increase of the inhibitor activity of hCA IX is C2HN3 , The virtual fragments , Br atom and NO2 leads to a significant decrease of the inhibitor activity value. The innovation of this work consists in not only exploring the structural attributes of bioactive molecules but in predicting in silico the structures of eleven new compounds which may show Tumor-Associated Carbonic Anhydrases IX (CAIX) inhibitory activity. The analogs of the lead molecule are generated by replacing selected fragments that have similar shape and electrostatics. The various pharmacokinetic evaluations and synthetic accessibility test were also carried out to search more suitable compounds. The molecules of the prediction set include many molecules having high computed activity.