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Validating Novel QSAR Descriptors for Use in Diversity Analysis

Authors :
Robert D. Clark
Michael Brusati
Robert Jilek
Trevor Heritage
Richard D. Cramer
Source :
Molecular Modeling and Prediction of Bioactivity ISBN: 9781461368571
Publication Year :
2000
Publisher :
Springer US, 2000.

Abstract

A descriptor is a mathematical function which maps chemical structures into the set of real numbers or into a real-valued vector. When functions take on single values which characterize a molecule as a whole, they can be classed as one dimensional descriptors, as can substituent parameters used to partition physical chemical effects among the substructures of which the molecules being studied are comprised. Partition coefficients (e.g., logP and ClogP) and molar refractivity (MR) are examples of ID descriptors. 2D descriptors such as atom pair and substructural fingerprints and connectivity indices explicitly incorporate contributions from molecular connectivity. 3D descriptors, in contrast, include contributions from effects (e.g., through-space interactions) which are dependent on the conformation or the position of a molecule, or both. The most commonly employed 3D descriptors are molecular fields (CoMFA).1

Details

ISBN :
978-1-4613-6857-1
ISBNs :
9781461368571
Database :
OpenAIRE
Journal :
Molecular Modeling and Prediction of Bioactivity ISBN: 9781461368571
Accession number :
edsair.doi...........d492f9664f7b729a298bf944c1c46a83