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Neural networks in QSAR and drug design /

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 r...

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Bibliographic Details
Corporate Authors: Elsevier Science & Technology
Group Author: Devillers, James, 1956
Published: Harcourt Brace,
Publisher Address: London ; San Diego :
Publication Dates: 1996.
Literature type: eBook
Language: English
Series: Principles of QSAR and drug design
Subjects:
Drugs > Design
Neural networks Computer science
QSAR Biochemistry
Drugs > Structure-activity relationships
MEDICAL > Drug Guides
MEDICAL > Pharmacology
MEDICAL > Pharmacy
MEDICAL > Nursing > Pharmacology
Electronic books
Online Access: http://www.sciencedirect.com/science/book/9780122138157
Summary: 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 par
Carrier Form: 1 online resource (x, 284 pages, 11 pages of plates) : illustrations (some color).
Bibliography: Includes bibliographical references and index.
ISBN: 9780122138157
0122138155
9780080537382
0080537383
Index Number: RM301
CLC: R914
Contents: 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

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