Literature DB >> 15546736

QSAR modelling of HIV-1 reverse transcriptase inhibition by benzoxazinones using a combination of P_VSA and pharmacophore feature descriptors.

S Balaji1, C Karthikeyan, N S Hari Narayana Moorthy, Piyush Trivedi.   

Abstract

In pursuit of better anti-HIV drugs, a quantitative structure-activity relationship analysis using a novel set of 2D descriptors was performed on a series of HIV-1 reverse transcriptase inhibitory benzoxazinones. The QSAR models derived from the above mentioned descriptors were found to be statistically significant and exhibited superior predictive power. The results of the study justify the application of the descriptors for exploring the binding mode of the benzoxazinones to the enzyme.

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Year:  2004        PMID: 15546736     DOI: 10.1016/j.bmcl.2004.09.068

Source DB:  PubMed          Journal:  Bioorg Med Chem Lett        ISSN: 0960-894X            Impact factor:   2.823


  2 in total

1.  Study of Structure and Permeability Relationship of Flavonoids in Caco-2 Cells.

Authors:  Yajing Fang; Weiwei Cao; Mengmeng Xia; Siyi Pan; Xiaoyun Xu
Journal:  Nutrients       Date:  2017-11-29       Impact factor: 5.717

Review 2.  Computational drug design strategies applied to the modelling of human immunodeficiency virus-1 reverse transcriptase inhibitors.

Authors:  Lucianna Helene Santos; Rafaela Salgado Ferreira; Ernesto Raúl Caffarena
Journal:  Mem Inst Oswaldo Cruz       Date:  2015-11       Impact factor: 2.743

  2 in total

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