Literature DB >> 14723967

Three-dimensional quantitative structure-activity relationship analyses of piperidine-based CCR5 receptor antagonists.

Minghu Song1, Curt M Breneman, N Sukumar.   

Abstract

The CCR5 chemokine receptor has recently been found to play a crucial role in the viral entry stage of HIV infection and has therefore become an attractive potential target for anti-HIV therapeutics. On the other hand, the lack of CCR5 crystal structure data has impeded the development of structure-based CCR5 antagonist design. In this paper, we compare two three-dimensional Quantitative Structure-Activity Relationship (3D-QSAR) methods: Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular Similarity Indices Analysis (CoMSIA) on a series of piperidine-based CCR5 antagonists as an alternative approach to investigate the interaction between CCR5 antagonists and their receptor. Superimposition of antagonist structures was performed using two alignment rules: atomic/centroid rms fit and rigid body field fit techniques. The 3D QSAR models were derived from a training set of 72 compounds, and were found to have predictive capability for a set of 19 holdout test compounds. The resulting contour maps produced by the best CoMFA and CoMSIA models were used to identify the structural features relevant to biological activity in this series of compounds. Further analyses of these interaction-field contour maps also showed a high level of internal consistency.

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Year:  2004        PMID: 14723967     DOI: 10.1016/j.bmc.2003.10.019

Source DB:  PubMed          Journal:  Bioorg Med Chem        ISSN: 0968-0896            Impact factor:   3.641


  5 in total

1.  Investigation of substituent effect of 1-(3,3-diphenylpropyl)-piperidinyl phenylacetamides on CCR5 binding affinity using QSAR and virtual screening techniques.

Authors:  Antreas Afantitis; Georgia Melagraki; Haralambos Sarimveis; Panayiotis A Koutentis; John Markopoulos; Olga Igglessi-Markopoulou
Journal:  J Comput Aided Mol Des       Date:  2006-05-09       Impact factor: 3.686

2.  3D-QSAR study of hallucinogenic phenylalkylamines by using CoMFA approach.

Authors:  Zhuoyong Zhang; Liying An; Wenxiang Hu; Yuhong Xiang
Journal:  J Comput Aided Mol Des       Date:  2007-01-04       Impact factor: 3.686

3.  Prediction of PKCθ inhibitory activity using the Random Forest Algorithm.

Authors:  Ming Hao; Yan Li; Yonghua Wang; Shuwei Zhang
Journal:  Int J Mol Sci       Date:  2010-09-20       Impact factor: 5.923

4.  Comparative docking study of anibamine as the first natural product CCR5 antagonist in CCR5 homology models.

Authors:  Guo Li; Kendra M Haney; Glen E Kellogg; Yan Zhang
Journal:  J Chem Inf Model       Date:  2009-01       Impact factor: 4.956

5.  3D-QSAR studies of substituted 1-(3, 3-diphenylpropyl)-piperidinyl amides and ureas as CCR5 receptor antagonists.

Authors:  Yogesh D Aher; Avantika Agrawal; Prasad V Bharatam; Prabha Garg
Journal:  J Mol Model       Date:  2007-02-16       Impact factor: 1.810

  5 in total

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