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Pharmacophore elucidation and molecular docking studies on 5-phenyl-1-(3-pyridyl)-1h-1,2,4-triazole-3-carboxylic acid derivatives as COX-2 inhibitors.


ABSTRACT: A set of 5-phenyl-1-(3-pyridyl)-1H-1,2,4-triazole-3-carboxylic acid derivatives (16â32) showing anti-inflammatory activity was analyzed using a three-dimensional qualitative structure-selectivity relationship (3D QSSR) method. The CatalystHipHop approach was used to generate a pharmacophore model for cyclooxygenase-2 (COX-2) inhibitors based on a training set of 15 active inhibitors (1â15). The degree of fitting of the test set compounds (16â32) to the generated hypothetical model revealed a qualitative measure of the more or less selective COX-2 inhibition of these compounds. The results indicate that most derivatives (16, 18, 20â25, and 30â32) are able to effectively satisfy the proposed pharmacophore geometry using energy accessible conformers (E(conf) < 20 kcal/mol). In addition, the triazole derivatives (16â32) were docked into COX-1 and COX-2 X-ray structures, using the program GOLD. Based on the docking results it is suggested that several of these novel triazole derivatives are active COX inhibitors with a significant preference for COX-2. In principle, this work presents an interesting, comprehensive approach to theoretically predict the mode of action of compounds that showed anti-inflammatory activity in an in vivo model.

SUBMITTER: Lindner M 

PROVIDER: S-EPMC3002798 | biostudies-literature | 2010 Apr-Jun

REPOSITORIES: biostudies-literature

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Pharmacophore elucidation and molecular docking studies on 5-phenyl-1-(3-pyridyl)-1h-1,2,4-triazole-3-carboxylic acid derivatives as COX-2 inhibitors.

Lindner Marc M   Sippl Wolfgang W   Radwan Awwad A AA  

Scientia pharmaceutica 20100319 2


A set of 5-phenyl-1-(3-pyridyl)-1H-1,2,4-triazole-3-carboxylic acid derivatives (16â32) showing anti-inflammatory activity was analyzed using a three-dimensional qualitative structure-selectivity relationship (3D QSSR) method. The CatalystHipHop approach was used to generate a pharmacophore model for cyclooxygenase-2 (COX-2) inhibitors based on a training set of 15 active inhibitors (1â15). The degree of fitting of the test set compounds (16â32) to the generated hypothetical model revealed a qua  ...[more]

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