IMIST


Neural networks in QSAR and drug design / (notice n° 31277)

000 -LEADER
fixed length control field 06020cam a2200781Ii 4500
001 - CONTROL NUMBER
control field ocn162571780
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20211202120559.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cn|
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 070806s1996 enkaf ob 001 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency OPELS
Language of cataloging eng
Transcribing agency OPELS
Modifying agency OPELS
-- DEBSZ
-- OCLCQ
-- N$T
-- YDXCP
-- IDEBK
-- E7B
-- OCLCQ
-- OCLCO
-- OCLCQ
-- OCLCA
-- OCLCF
Description conventions rda
019 ## -
-- 182540400
-- 647685914
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780122138157
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0122138155
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780080537382 (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0080537383 (electronic bk.)
029 1# - (OCLC)
-- NZ1
-- 12433337
029 1# - (OCLC)
-- DEBSZ
-- 316125741
029 1# - (OCLC)
-- DEBBG
-- BV039832694
029 1# - (OCLC)
-- NZ1
-- 15190809
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)162571780
Canceled/invalid control number (OCoLC)182540400
-- (OCoLC)647685914
037 ## - SOURCE OF ACQUISITION
Stock number 81544:81544
Source of stock number/acquisition Elsevier Science & Technology
Note http://www.sciencedirect.com
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number RM301.42
Item number .N487 1996eb
072 #7 - SUBJECT CATEGORY CODE
Subject category code MED
Subject category code subdivision 023000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code MED
Subject category code subdivision 071000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code MED
Subject category code subdivision 072000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code MED
Subject category code subdivision 058170
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 615/.19
Edition number 22
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIA
245 00 - TITLE STATEMENT
Title Neural networks in QSAR and drug design /
Statement of responsibility, etc edited by James Devillers.
264 #1 -
-- London ;
-- San Diego :
-- Harcourt Brace.
264 #4 -
-- c1996.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (x, 284 pages, 11 pages of plates) :
Other physical details illustrations (some color)
336 ## - CONTENT TYPE
Content Type Term text
Content Type Code txt
Source rdacontent
337 ## - MEDIA TYPE
Media Type Term computer
Media Type Code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier Type Term online resource
Carrier Type Code cr
Source rdacarrier
347 ## -
-- data file
-- rda
380 ## -
-- Bibliography
490 1# - SERIES STATEMENT
Series statement Principles of QSAR and drug design
520 ## - SUMMARY, ETC.
Summary, etc 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.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
588 ## -
-- Description based on print version record.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Drugs
General subdivision Design.
9 (RLIN) 55516
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Neural networks (Computer science)
9 (RLIN) 55517
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element QSAR (Biochemistry)
9 (RLIN) 55145
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Drugs
General subdivision Structure-activity relationships.
9 (RLIN) 55518
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element MEDICAL
General subdivision Drug Guides.
Source of heading or term bisacsh
9 (RLIN) 55519
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element MEDICAL
General subdivision Pharmacology.
Source of heading or term bisacsh
9 (RLIN) 55520
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element MEDICAL
General subdivision Pharmacy.
Source of heading or term bisacsh
9 (RLIN) 55521
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element MEDICAL
General subdivision Nursing
-- Pharmacology.
Source of heading or term bisacsh
9 (RLIN) 55522
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
9 (RLIN) 20
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Drugs
General subdivision Design.
Source of heading or term fast
-- (OCoLC)fst00898790
9 (RLIN) 55516
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Drugs
General subdivision Structure-activity relationships.
Source of heading or term fast
-- (OCoLC)fst00898929
9 (RLIN) 55518
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Neural networks (Computer science)
Source of heading or term fast
-- (OCoLC)fst01036260
9 (RLIN) 55517
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element QSAR (Biochemistry)
Source of heading or term fast
-- (OCoLC)fst01084801
9 (RLIN) 55145
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Devillers, James,
Dates associated with a name 1956-
9 (RLIN) 55163
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version:
Title Neural networks in QSAR and drug design.
Place, publisher, and date of publication London ; San Diego : Harcourt Brace, c1996
International Standard Book Number 0122138155
-- 9780122138157
Record control number (OCoLC)35759413
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Principles of QSAR and drug design.
9 (RLIN) 51137
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://www.sciencedirect.com/science/book/9780122138157">http://www.sciencedirect.com/science/book/9780122138157</a>
938 ## -
-- YBP Library Services
-- YANK
-- 2737628
938 ## -
-- ebrary
-- EBRY
-- ebr10201882
938 ## -
-- EBSCOhost
-- EBSC
-- 211326
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Ebook
956 ## - LOCAL ELECTRONIC LOCATION AND ACCESS (OCLC)
Electronic name Pré 2007
994 ## -
-- 92
-- MAIMI

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