A Primer on QSAR/QSPR modeling : (Record no. 1962)

MARC details
000 -LEADER
fixed length control field 02276nam a22002777a 4500
003 - CONTROL NUMBER IDENTIFIER
control field NULRC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250307170837.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250307b ph ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319172804
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319172811
040 ## - CATALOGING SOURCE
Transcribing agency NULRC
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Roy, Kunal
Relator term author
245 ## - TITLE STATEMENT
Title A Primer on QSAR/QSPR modeling :
Remainder of title fundamental concepts /
Statement of responsibility, etc. Kunal Roy, Supratik Kar and Rudra Narayan Das
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cham :
Name of publisher, distributor, etc. Springer,
Date of publication, distribution, etc. 2015.
300 ## - PHYSICAL DESCRIPTION
Extent 121 pages.
365 ## - TRADE PRICE
Price amount USD65.00
490 ## - SERIES STATEMENT
Series statement SpringerBriefs in Molecular Science
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes index.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Cover -- <br/>Foreword -- <br/>Preface -- <br/>Contents -- <br/>1 QSAR/QSPR Modeling: Introduction -- <br/>2 Statistical Methods in QSAR/QSPR -- <br/>3 QSAR/QSPR Methods -- <br/>4 Newer Directions in QSAR/QSPR.
520 ## - SUMMARY, ETC.
Summary, etc. This brief goes back to basics and describes the Quantitative structure-activity/property relationships (QSARs/QSPRs) that represent predictive models derived from the application of statistical tools correlating biological activity (including therapeutic and toxic) and properties of chemicals (drugs/toxicants/environmental pollutants) with descriptors representative of molecular structure and/or properties. It explains how the sub-discipline of Cheminformatics is used for many applications such as risk assessment, toxicity prediction, property prediction and regulatory decisions apart from drug discovery and lead optimization. The authors also present, in basic terms, how QSARs and related chemometric tools are extensively involved in medicinal chemistry, environmental chemistry and agricultural chemistry for ranking of potential compounds and prioritizing experiments. At present, there is no standard or introductory publication available that introduces this important topic to students of chemistry and pharmacy. With this in mind, the authors have carefully compiled this brief in order to provide a thorough and painless introduction to the fundamental concepts of QSAR/QSPR modelling. The brief is aimed at novice readers.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element CHEMOMETRICS
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Kar, Supratik
Relator term co-author
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Das, Rudra Narayan
Relator term co-author
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://research.ebsco.com/c/nahjoz/search/details/xmpshicce5?db=nlebk&db=nlabk">https://research.ebsco.com/c/nahjoz/search/details/xmpshicce5?db=nlebk&db=nlabk</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Electronic Resources
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total checkouts Barcode Date last seen Copy number Koha item type
    Library of Congress Classification     Pharmacy LRC - Main National University - Manila Electronic Books 01/15/2025 Purchased - GOBI 65.00   EBK000000043 03/07/2025 c.1 Electronic Resources