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CoMFA and CoMSIA 3D-QSAR analysis of DMDP derivatives as anti-cancer agents

Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) based on three dimensional quantitative structure–activity relationship (3D-QSAR) studies were conducted on a series (78 compounds) of 2, 4-diamino-5-methyl-5-deazapteridine (DMDP) derivatives...

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Autores principales: Srivastava, Vivek, Kumar, Ashutosh, Mishra, Bhartendu Nath, Siddiqi, Mohammad Imran
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics Publishing Group 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2533057/
https://www.ncbi.nlm.nih.gov/pubmed/18795111
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author Srivastava, Vivek
Kumar, Ashutosh
Mishra, Bhartendu Nath
Siddiqi, Mohammad Imran
author_facet Srivastava, Vivek
Kumar, Ashutosh
Mishra, Bhartendu Nath
Siddiqi, Mohammad Imran
author_sort Srivastava, Vivek
collection PubMed
description Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) based on three dimensional quantitative structure–activity relationship (3D-QSAR) studies were conducted on a series (78 compounds) of 2, 4-diamino-5-methyl-5-deazapteridine (DMDP) derivatives as potent anticancer agents. The best prediction were obtained with a CoMFA standard model (q(2) = 0.530, r(2) = 0.903) and with CoMSIA combined steric, electrostatic, hydrophobic and hydrogen bond donor fields (q(2) = 0.548, r(2) = 0.909). Both models were validated by a test set of ten compounds producing very good predictive r(2) values of 0.935 and 0.842, respectively. CoMFA and CoMSIA contour maps were then used to analyze the structural features of ligands to account for the activity in terms of positively contributing physiochemical properties such as steric, electrostatic, hydrophobic and hydrogen bond donor fields. The resulting contour maps produced by the best CoMFA and CoMSIA models were used to identify the structural features relevant to the biological activity in this series of analogs. This study suggests that the highly electropositive substituents with low steric tolerance are required at 5 position of the pteridine ring and bulky electronegatve substituents are required at the meta-position of the phenyl ring. The information obtained from CoMFA and CoMSIA 3-D contour maps can be used for the design of deazapteridine-based analogs as anticancer agents.
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spelling pubmed-25330572008-09-15 CoMFA and CoMSIA 3D-QSAR analysis of DMDP derivatives as anti-cancer agents Srivastava, Vivek Kumar, Ashutosh Mishra, Bhartendu Nath Siddiqi, Mohammad Imran Bioinformation Hypothesis Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) based on three dimensional quantitative structure–activity relationship (3D-QSAR) studies were conducted on a series (78 compounds) of 2, 4-diamino-5-methyl-5-deazapteridine (DMDP) derivatives as potent anticancer agents. The best prediction were obtained with a CoMFA standard model (q(2) = 0.530, r(2) = 0.903) and with CoMSIA combined steric, electrostatic, hydrophobic and hydrogen bond donor fields (q(2) = 0.548, r(2) = 0.909). Both models were validated by a test set of ten compounds producing very good predictive r(2) values of 0.935 and 0.842, respectively. CoMFA and CoMSIA contour maps were then used to analyze the structural features of ligands to account for the activity in terms of positively contributing physiochemical properties such as steric, electrostatic, hydrophobic and hydrogen bond donor fields. The resulting contour maps produced by the best CoMFA and CoMSIA models were used to identify the structural features relevant to the biological activity in this series of analogs. This study suggests that the highly electropositive substituents with low steric tolerance are required at 5 position of the pteridine ring and bulky electronegatve substituents are required at the meta-position of the phenyl ring. The information obtained from CoMFA and CoMSIA 3-D contour maps can be used for the design of deazapteridine-based analogs as anticancer agents. Biomedical Informatics Publishing Group 2008-06-27 /pmc/articles/PMC2533057/ /pubmed/18795111 Text en © 2008 Biomedical Informatics Publishing Group 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
Srivastava, Vivek
Kumar, Ashutosh
Mishra, Bhartendu Nath
Siddiqi, Mohammad Imran
CoMFA and CoMSIA 3D-QSAR analysis of DMDP derivatives as anti-cancer agents
title CoMFA and CoMSIA 3D-QSAR analysis of DMDP derivatives as anti-cancer agents
title_full CoMFA and CoMSIA 3D-QSAR analysis of DMDP derivatives as anti-cancer agents
title_fullStr CoMFA and CoMSIA 3D-QSAR analysis of DMDP derivatives as anti-cancer agents
title_full_unstemmed CoMFA and CoMSIA 3D-QSAR analysis of DMDP derivatives as anti-cancer agents
title_short CoMFA and CoMSIA 3D-QSAR analysis of DMDP derivatives as anti-cancer agents
title_sort comfa and comsia 3d-qsar analysis of dmdp derivatives as anti-cancer agents
topic Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2533057/
https://www.ncbi.nlm.nih.gov/pubmed/18795111
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