MARC Record from marc_columbia

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001 15107734
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006 m o d
007 cr un|||||||||
008 150922s2015 onc ob 001 0 eng
035 $a(OCoLC)ocn922834329
035 $a(NNC)15107734
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019 $a945735524$a947222653
020 $a9781498722599$q(pdf)
020 $a1498722598
020 $z9781771881135
035 $a(OCoLC)922834329$z(OCoLC)945735524$z(OCoLC)947222653
037 $aTANDF_396556$bIngram Content Group
050 4 $aRM301.42
055 0 $aRM301.42$bC54 2015
072 7 $aMED$x071000$2bisacsh
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084 $acci1icc$2lacc
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049 $aZCUA
245 00 $aChemometrics applications and research :$bQSAR in medicinal chemistry /$cedited by Andrew G. Mercader, PhD, Pablo R. Duchowicz, PhD, P.M. Sivakumar, PhD.
263 $a1511
264 1 $aOakville, ON, Canada :$bApple Academic Press,$c2015.
300 $a1 online resource
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
504 $aIncludes bibliographical references and index.
505 0 $aFront Cover; About the Editors; Contents; List of Contributors; List of Abbreviations; Preface; Acknowledgment; Chapter 1: Overview and Recent Advances in QSAR Studies; Chapter 2: Software and Web Resources for Computer-Aided Molecular Modeling and Drug Discovery; Chapter 3: The rm2 Metrics for Validation of QSAR/QSPR Models; Chapter 4: Considering the Molecular Conformational Flexibility in QSAR Studies; Chapter 5: Practical Aspects of Building, Validation and Application of 3D-Pharmacophore Models.
505 8 $aChapter 6: Application of Conceptual Density Functional Theory in Developing QSAR Models and their Usefulness in the Prediction of Biological Activity and Toxicity of MoleculesChapter 7: Synopsis of Chemometric Applications to Model PPAR Agonism; Chapter 8: Antimicrobial and Immunosuppressive Activitities of Cyclopeptides as Targets for Medicinal Chemistry; Chapter 9: On the Use of Quantitative Structure Activity Relationships and Global Reactivity Descriptors to Study the Biological Activities of Polychlorinated Biphenyls.
505 8 $aChapter 10: Applications of Quantitative Structure-Relative Sweetness Relationships in Food ChemistryChapter 11: QSAR Studies of 1, 4-Benzodiazepines as CCKA Antagonist; Chapter 12: Docking-Based Scoring Parameters Based QSAR Modeling on a Data Set of Bisphenylbenzimidazole as Non-Nucleoside Reverse Transcriptase Inhibitor; Chapter 13: Potential Anti-Inflammatory and Anti-Proliferative Agents and-1h-Isochromen-1-Ones and their Thio Analogues and their QSAR Studies; Chapter 14: QSAR Studies on Dihydrofolate Reductase Enzyme: From Model to Biological Activity; Back Cover.
520 8 $aThis text provides innovative material, including peer-reviewed chapters and survey articles on new applied research and development, in the scientifically important field of QSAR in medicinal chemistry.$bThis important new book provides innovative material, including peer-reviewed chapters and survey articles on new applied research and development, in the scientifically important field of QSAR in medicinal chemistry. QSAR is a growing field because available computing power is continuously increasing, QSAR's potential is enormous, limited only by the quantity and quality of the available experimental input, which are also continuously improving. The number of possible structures for the design of new organic compounds is difficult to imagine, and QSAR helps to predict their activities even before synthesis. The book provides a wealth of valuable information and: Presents an overview of recent developments in QSAR methodologies along with a brief history of QSAR Covers the available web resource tools and in silico techniques used in virtual screening and drug discovery processes, compiling an extensive review of web resources in the following categories: databases related to chemical compounds, drug targets, and ADME/toxicity prediction; molecular modeling and drug designing; virtual screening; pharmacophore generation; molecular descriptor calculation software; software for quantum mechanics; ligand binding affinities (docking); and software related to ADME/toxicity prediction Reviews the rm2 as a more stringent measure for the assessment of model predictivity compared to traditional validation metrics, being specifically important since validation is a crucial step in any QSAR study Presents linear model improvement techniques that take into account the conformation flexibility of the modeled molecules Summarizes the building processes of four different pharmacophore models: common-feature, 3D-QSAR, protein-, and protein-ligand complexes Shows the role of different conceptual density functional theory based chemical reactivity descriptors, such as hardness, electrophilicity, net electrophilicity, and philicity in the design of different QSAR/QSPR/QSTR models Reviews the use of chemometrics in PPAR research highlighting its substantial contribution in identifying essential structural characteristics and understanding the mechanism of action Presents the structures and QSARs of antimicrobial and immunosuppressive cyclopeptides, discussing the balance of antimicrobial and haemolytic activities for designing new antimicrobial cyclic peptides Shows the relationship between DFT global descriptors and experimental toxicity of a selected group of polychlorinated biphenyls, exploring the efficacy of three DFT descriptors Reviews the applications of Quantitative Structure-Relative Sweetness Relationships (QSRSR), showing that the last decade was marked by an increase in the number of studies regarding QSAR applications for both understanding the sweetness mechanism and synthesizing novel sweetener compounds for the food additive industry The wide coverage makes this book an excellent reference for those in chemistry, pharmacology, and medicine as well as for research centers, governmental organizations, pharmaceutical companies, and health and environmental control organizations.
650 0 $aQSAR (Biochemistry)
650 0 $aPharmaceutical chemistry.
650 0 $aChemometrics.
650 2 $aQuantitative Structure-Activity Relationship
650 2 $aChemistry, Pharmaceutical
650 6 $aRelations structure-activité quantitatives (Biochimie)
650 6 $aChimie pharmaceutique.
650 6 $aChimiométrie.
650 7 $aMEDICAL$xPharmacology.$2bisacsh
650 7 $aChemometrics.$2fast$0(OCoLC)fst01736550
650 7 $aPharmaceutical chemistry.$2fast$0(OCoLC)fst01060115
650 7 $aQSAR (Biochemistry)$2fast$0(OCoLC)fst01084801
655 0 $aElectronic books.
655 4 $aElectronic books.
700 1 $aMercader, Andrew G,$eeditor.
700 1 $aSivakumar, P. M,$eauthor,$eeditor.
700 1 $aDuchowicz, Pablo R,$eauthor,$eeditor.
776 1 $tChemometrics applications and research.:$dOakville, ON, Canada ; Waretown, NJ, USA : Apple Academic Press, [2016] ©2016$w(CaOONL)20159066891$w(OCoLC)906010502
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15107734$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS