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 |