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Neural networks in QSAR and...
Comprehensive and impeccably edited, Neural Networks in QSAR and Drug Design is the first book to present an all-inclusive coverage of the topic. The book provides a practice-oriented introduction to the different neural network paradigms, allowing the reader to easily understand and reproduce the results demonstrated. Numerous examples are detailed, demonstrating a variety of applications to QSAR and drug design. The contributors include some of the most distinguished names in the field, and the book provides an exhaustive bibliography, guiding readers to all the literature related to a particular type of application or neural network paradigm. The extensive index acts as a guide to the book, and makes retrieving information from chapters an easy task. A further research aid is a list of software with indications of availablility and price, as well as the editors scale rating the ease of use and interest/price ratio of each software package. The presentation of new, powerful tools for modeling molecular properties and the inclusion of many important neural network paradigms, coupled with extensive reference aids, makes Neural Networks in QSAR and Drug Design an essential reference source for those on the frontiers of this field. Key Features * Presents the first coverage of neural networks in QSAR and Drug Design * Allows easy understanding and reproduction of the results described within * Includes an exhaustive bibliography with more than 200 references * Provides a list of applicable software packages with availability and price
Monografía
monografia Rebiun36704073 https://catalogo.rebiun.org/rebiun/record/Rebiun36704073 m o d cr cn||||||||| 070806s1996 enkaf ob 001 0 eng d 182540400 647685914 1102530007 1112852740 1160047487 1162120871 1398139723 9780122138157 0122138155 9780080537382 electronic bk.) 0080537383 electronic bk.) 1281059315 9781281059314 9786611059316 6611059318 AU@ 000056658954 DEBBG BV039832694 DEBBG BV042308327 DEBSZ 316125741 NZ1 12433337 NZ1 15190809 UCH ocn162571780 UAO ocn162571780 UCEU ocn162571780 81544:81544 Elsevier Science & Technology http://www.sciencedirect.com OPELS eng pn OPELS OPELS DEBSZ OCLCQ N$T YDXCP IDEBK E7B OCLCQ OCLCO OCLCQ OCLCA OCLCF OCLCQ KIJ STF D6H OCLCQ OCLCO OCLCQ OCLCA LEAUB OL$ OCLCA VLY INARC OCLCQ OCLCO S2H OCLCO OCLCQ OCLCO OCL OCLCQ OCLCO OCLCL MED 023000 bisacsh MED 071000 bisacsh MED 072000 bisacsh MED 058170 bisacsh 615/.19 22 Neural networks in QSAR and drug design edited by James Devillers London San Diego Harcourt Brace ©1996 London San Diego London San Diego Harcourt Brace 1 online resource (x, 284 pages, 11 pages of plates) illustrations (some color) 1 online resource (x, 284 pages, 11 pages of plates) Text txt rdacontent computer c rdamedia online resource cr rdacarrier Principles of QSAR and drug design Includes bibliographical references and index J. Devillers, Preface. J. Devillers, Strengths and Weaknesses of the Backpropagation Neural Network in QSAR and QSPR Studies. D. Domine, J. Devillers, and W. Karcher, AUTOLOGP Versus Neural Network Estimationof n-Octanol/Water Partition Coefficients. J. Devillers, D. Domine, and R.S. Boethling, Use of a Backpropagation Neural Network and Autocorrelation Descriptors for Predicting the Biodegradation of Organic Chemicals. M. Chastrette and C. ElAidi, Structure-Bell-Pepper Odor Relationships for Pyrazines and Pyridines. J. Devillers, C. Guillon, and D. Domine, A Neural Structure-Odor Threshold Model for Chemicals of Environmental and Industrial Concern. D. Wienke, D. Domine, L. Buydens, and J. Devillers, Adaptive Resonance Theory Based Neural Networks Explored for Pattern Recognition Analysis of QSAR Data. D.J. Livingstone, Multivariate Data Display Using Neural Networks. D.T. Manallack, T. Gallagher, and D.J. Livingstone, Quantitative Structure-Activity Relationships of Nicotinic Agonists. S. Anzali, G. Barnickel, M. Krug, J. Sadowski, M. Wagener, and J. Gasteiger, Evaluation of Molecular Surface Properties Using a Kohonen Neural Network. D. Domine, D. Wienke, J. Devillers, and L. Buydens, A New Nonlinear Neural Mapping Technique for Visual Exploration of QSAR Data. G.M. Maggiora, C.T. Zhang, K.C. Chou, and D.W. Elrod, Combining Fuzzy Clustering and Neural Networks to Predict Protein Structural Classes. Index Comprehensive and impeccably edited, Neural Networks in QSAR and Drug Design is the first book to present an all-inclusive coverage of the topic. The book provides a practice-oriented introduction to the different neural network paradigms, allowing the reader to easily understand and reproduce the results demonstrated. Numerous examples are detailed, demonstrating a variety of applications to QSAR and drug design. The contributors include some of the most distinguished names in the field, and the book provides an exhaustive bibliography, guiding readers to all the literature related to a particular type of application or neural network paradigm. The extensive index acts as a guide to the book, and makes retrieving information from chapters an easy task. A further research aid is a list of software with indications of availablility and price, as well as the editors scale rating the ease of use and interest/price ratio of each software package. The presentation of new, powerful tools for modeling molecular properties and the inclusion of many important neural network paradigms, coupled with extensive reference aids, makes Neural Networks in QSAR and Drug Design an essential reference source for those on the frontiers of this field. Key Features * Presents the first coverage of neural networks in QSAR and Drug Design * Allows easy understanding and reproduction of the results described within * Includes an exhaustive bibliography with more than 200 references * Provides a list of applicable software packages with availability and price English Drugs- Design Neural networks (Computer science) QSAR (Biochemistry) Drugs- Structure-activity relationships Drugs Drug Design Pharmaceutical Preparations Neural Networks, Computer Quantitative Structure-Activity Relationship Médicaments- Conception Réseaux neuronaux (Informatique) Relations structure-activité quantitatives (Biochimie) Médicaments- Relations structure-activité Médicaments MEDICAL- Drug Guides MEDICAL- Pharmacology MEDICAL- Pharmacy MEDICAL- Nursing- Pharmacology Drugs Drugs- Design Drugs- Structure-activity relationships Neural networks (Computer science) QSAR (Biochemistry) Electronic information resources Devillers, James 1956-) https://id.oclc.org/worldcat/entity/E39PCjH3Kvfk6Rjrwg7pgfY773 Print version Neural networks in QSAR and drug design. London ; San Diego : Harcourt Brace, ©1996 0122138155 9780122138157 (OCoLC)35759413 Principles of QSAR and drug design