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Lead identification and optimization of novel collagenase inhibitors; pharmacophore and structure based studies

In this study, chemical feature based pharmacophore models of MMP-1, MMP-8 and MMP-13 inhibitors have been developed with the aid of HypoGen module within Catalyst program package. In MMP-1 and MMP-13, all the compounds in the training set mapped HBA and RA, while in MMP-8, the training set mapped H...

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Autores principales: Kalva, Sukesh, Vadivelan, S, Sanam, Ramadevi, Jagarlapudi, Sarma ARP, Saleena, Lilly M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338973/
https://www.ncbi.nlm.nih.gov/pubmed/22553386
http://dx.doi.org/10.6026/97320630008301
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author Kalva, Sukesh
Vadivelan, S
Sanam, Ramadevi
Jagarlapudi, Sarma ARP
Saleena, Lilly M
author_facet Kalva, Sukesh
Vadivelan, S
Sanam, Ramadevi
Jagarlapudi, Sarma ARP
Saleena, Lilly M
author_sort Kalva, Sukesh
collection PubMed
description In this study, chemical feature based pharmacophore models of MMP-1, MMP-8 and MMP-13 inhibitors have been developed with the aid of HypoGen module within Catalyst program package. In MMP-1 and MMP-13, all the compounds in the training set mapped HBA and RA, while in MMP-8, the training set mapped HBA and HY. These features revealed responsibility for the high molecular bioactivity, and this is further used as a three dimensional query to screen the knowledge based designed molecules. These pharmacophore models for collagenases picked up some potent and novel inhibitors. Subsequently, docking studies were performed for the potent molecules and novel hits were suggested for further studies based on the docking score and active site interactions in MMP-1, MMP-8 and MMP-13.
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spelling pubmed-33389732012-05-02 Lead identification and optimization of novel collagenase inhibitors; pharmacophore and structure based studies Kalva, Sukesh Vadivelan, S Sanam, Ramadevi Jagarlapudi, Sarma ARP Saleena, Lilly M Bioinformation Hypothesis In this study, chemical feature based pharmacophore models of MMP-1, MMP-8 and MMP-13 inhibitors have been developed with the aid of HypoGen module within Catalyst program package. In MMP-1 and MMP-13, all the compounds in the training set mapped HBA and RA, while in MMP-8, the training set mapped HBA and HY. These features revealed responsibility for the high molecular bioactivity, and this is further used as a three dimensional query to screen the knowledge based designed molecules. These pharmacophore models for collagenases picked up some potent and novel inhibitors. Subsequently, docking studies were performed for the potent molecules and novel hits were suggested for further studies based on the docking score and active site interactions in MMP-1, MMP-8 and MMP-13. Biomedical Informatics 2012-04-13 /pmc/articles/PMC3338973/ /pubmed/22553386 http://dx.doi.org/10.6026/97320630008301 Text en © 2012 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
spellingShingle Hypothesis
Kalva, Sukesh
Vadivelan, S
Sanam, Ramadevi
Jagarlapudi, Sarma ARP
Saleena, Lilly M
Lead identification and optimization of novel collagenase inhibitors; pharmacophore and structure based studies
title Lead identification and optimization of novel collagenase inhibitors; pharmacophore and structure based studies
title_full Lead identification and optimization of novel collagenase inhibitors; pharmacophore and structure based studies
title_fullStr Lead identification and optimization of novel collagenase inhibitors; pharmacophore and structure based studies
title_full_unstemmed Lead identification and optimization of novel collagenase inhibitors; pharmacophore and structure based studies
title_short Lead identification and optimization of novel collagenase inhibitors; pharmacophore and structure based studies
title_sort lead identification and optimization of novel collagenase inhibitors; pharmacophore and structure based studies
topic Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338973/
https://www.ncbi.nlm.nih.gov/pubmed/22553386
http://dx.doi.org/10.6026/97320630008301
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