Unknown

Dataset Information

0

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


ABSTRACT: 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.

SUBMITTER: Srivastava V 

PROVIDER: S-EPMC2533057 | biostudies-literature | 2008 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Srivastava Vivek V   Kumar Ashutosh A   Mishra Bhartendu Nath BN   Siddiqi Mohammad Imran MI  

Bioinformation 20080627 9


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 d  ...[more]

Similar Datasets

| S-EPMC2918725 | biostudies-literature
| S-EPMC2943337 | biostudies-literature
| S-EPMC3371641 | biostudies-literature
| S-EPMC3035205 | biostudies-literature