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Interpretable correlation descriptors for quantitative structure-activity relationships
BACKGROUND: The topological maximum cross correlation (TMACC) descriptors are alignment-independent 2D descriptors for the derivation of QSARs. TMACC descriptors are generated using atomic properties determined by molecular topology. Previous validation (J Chem Inf Model 2007, 47: 626-634) of the TM...
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Formato: | Texto |
Lenguaje: | English |
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Springer International Publishing
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2820500/ https://www.ncbi.nlm.nih.gov/pubmed/20151000 http://dx.doi.org/10.1186/1758-2946-1-22 |
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author | Spowage, Benson M Bruce, Craig L Hirst, Jonathan D |
author_facet | Spowage, Benson M Bruce, Craig L Hirst, Jonathan D |
author_sort | Spowage, Benson M |
collection | PubMed |
description | BACKGROUND: The topological maximum cross correlation (TMACC) descriptors are alignment-independent 2D descriptors for the derivation of QSARs. TMACC descriptors are generated using atomic properties determined by molecular topology. Previous validation (J Chem Inf Model 2007, 47: 626-634) of the TMACC descriptor suggests it is competitive with the current state of the art. RESULTS: Here, we illustrate the interpretability of the TMACC descriptors, through the analysis of the QSARs of inhibitors of angiotensin converting enzyme (ACE) and dihydrofolate reductase (DHFR). In the case of the ACE inhibitors, the TMACC interpretation shows features specific to C-domain inhibition, which have not been explicitly identified in previous QSAR studies. CONCLUSIONS: The TMACC interpretation can provide new insight into the structure-activity relationships studied. Freely available, open source software for generating the TMACC descriptors can be downloaded from http://comp.chem.nottingham.ac.uk. [Image: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1758-2946-1-22) contains supplementary material, which is available to authorized users. |
format | Text |
id | pubmed-2820500 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-28205002010-02-12 Interpretable correlation descriptors for quantitative structure-activity relationships Spowage, Benson M Bruce, Craig L Hirst, Jonathan D J Cheminform Research Article BACKGROUND: The topological maximum cross correlation (TMACC) descriptors are alignment-independent 2D descriptors for the derivation of QSARs. TMACC descriptors are generated using atomic properties determined by molecular topology. Previous validation (J Chem Inf Model 2007, 47: 626-634) of the TMACC descriptor suggests it is competitive with the current state of the art. RESULTS: Here, we illustrate the interpretability of the TMACC descriptors, through the analysis of the QSARs of inhibitors of angiotensin converting enzyme (ACE) and dihydrofolate reductase (DHFR). In the case of the ACE inhibitors, the TMACC interpretation shows features specific to C-domain inhibition, which have not been explicitly identified in previous QSAR studies. CONCLUSIONS: The TMACC interpretation can provide new insight into the structure-activity relationships studied. Freely available, open source software for generating the TMACC descriptors can be downloaded from http://comp.chem.nottingham.ac.uk. [Image: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1758-2946-1-22) contains supplementary material, which is available to authorized users. Springer International Publishing 2009-12-24 /pmc/articles/PMC2820500/ /pubmed/20151000 http://dx.doi.org/10.1186/1758-2946-1-22 Text en © Spowage et al; licensee BioMed Central Ltd. 2009 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Spowage, Benson M Bruce, Craig L Hirst, Jonathan D Interpretable correlation descriptors for quantitative structure-activity relationships |
title | Interpretable correlation descriptors for quantitative structure-activity relationships |
title_full | Interpretable correlation descriptors for quantitative structure-activity relationships |
title_fullStr | Interpretable correlation descriptors for quantitative structure-activity relationships |
title_full_unstemmed | Interpretable correlation descriptors for quantitative structure-activity relationships |
title_short | Interpretable correlation descriptors for quantitative structure-activity relationships |
title_sort | interpretable correlation descriptors for quantitative structure-activity relationships |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2820500/ https://www.ncbi.nlm.nih.gov/pubmed/20151000 http://dx.doi.org/10.1186/1758-2946-1-22 |
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