Infrared Spectra as Chemical Descriptors for QSAR Models
- 31 March 2001
- journal article
- research article
- Published by American Chemical Society (ACS) in Journal of Chemical Information and Computer Sciences
- Vol. 41 (3) , 727-730
- https://doi.org/10.1021/ci000308+
Abstract
Infrared spectra (IR) were used as regressors for a number of QSARs and compared with both mechanistically oriented descriptors and heuristic “chemically neutral” descriptors (modified adjacency matrices eigenvalues). IR spectra usually gave results inferior to those obtained with the mechanistically driven descriptors, with one notable exception, and comparable to those obtained by adjacency matrices eigenvalues. So the IR spectra cannot be considered as an “a-priori” optimal description of molecules for QSAR. However the relation of IR with the chemicophysical bases of drug-receptor interaction suggests the use of IR spectra for elucidating mechanistic details.Keywords
This publication has 7 references indexed in Scilit:
- The Characterization of Chemical Structures Using Molecular Properties. A SurveyJournal of Chemical Information and Computer Sciences, 1999
- Comparative Spectra Analysis (CoSA): Spectra as Three-Dimensional Molecular Descriptors for the Prediction of Biological ActivitiesJournal of Chemical Information and Computer Sciences, 1999
- Hydrogen tunneling in biologyChemistry & Biology, 1999
- QSAR Models for Binding of Estrogenic Compounds to Estrogen Receptor α and β SubtypesEndocrinology, 1997
- Comparison of the QSAR models for toxicity and biodegradability of anilines and phenolsChemosphere, 1997
- Comparative QSAR: Toward a Deeper Understanding of Chemicobiological InteractionsChemical Reviews, 1996
- Toxicity and QSAR of chlorobenzenes in two species of benthic flatfish, flounder (Platichthys flesus L.) and sole (Solea solea L.)Bulletin of Environmental Contamination and Toxicology, 1995