Literature DB >> 21908217

A comparative QSAR on 1,2,5-thiadiazolidin-3-one 1,1-dioxide compounds as selective inhibitors of human serine proteinases.

Javier García1, Pablo R Duchowicz, María F Rozas, José A Caram, María V Mirífico, Francisco M Fernández, Eduardo A Castro.   

Abstract

Selective inhibitors of target serine proteinases have a potential therapeutic role for the treatment of various inflammatory and related diseases. We develop a comparative quantitative structure-activity relationships based analysis on compounds embodying the 1,2,5-thiadiazolidin-3-one 1,1-dioxide scaffold. By means of classical Molecular Dynamics we obtain the conformation of each lowest-energy molecular structure from which we derive more than a thousand of structural descriptors necessary for building predictive QSAR models. We resort to two different modeling approaches with the purpose of testing the consistency of our results: (a) multivariable linear regressions based on the replacement method and forward stepwise regression, and (b) the calculation of flexible descriptors with the CORAL program. All the models are properly validated by means of standard procedures. The resulting QSAR models are supposed to be of great utility for the rational search and design (including synthesis and/or in vitro biochemical studies) of new effective non-peptidyl inhibitors of serine proteinases.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21908217     DOI: 10.1016/j.jmgm.2011.07.007

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  4 in total

1.  QSAR as a random event: a case of NOAEL.

Authors:  Alla P Toropova; Andrey A Toropov; Jovana B Veselinović; Aleksandar M Veselinović
Journal:  Environ Sci Pollut Res Int       Date:  2014-12-19       Impact factor: 4.223

2.  Optimal nano-descriptors as translators of eclectic data into prediction of the cell membrane damage by means of nano metal-oxides.

Authors:  Alla P Toropova; Andrey A Toropov; Emilio Benfenati; Rafi Korenstein; Danuta Leszczynska; Jerzy Leszczynski
Journal:  Environ Sci Pollut Res Int       Date:  2014-09-17       Impact factor: 4.223

3.  Exploring naphthyl derivatives as SARS-CoV papain-like protease (PLpro) inhibitors and its implications in COVID-19 drug discovery.

Authors:  Sk Abdul Amin; Insaf Ahmed Qureshi; Kalyan Ghosh; Samayaditya Singh; Tarun Jha; Shovanlal Gayen
Journal:  Mol Divers       Date:  2021-03-06       Impact factor: 3.364

4.  Prediction of the Toxicity of Binary Mixtures by QSAR Approach Using the Hypothetical Descriptors.

Authors:  Ting Wang; Lili Tang; Feng Luan; M Natália D S Cordeiro
Journal:  Int J Mol Sci       Date:  2018-10-31       Impact factor: 5.923

  4 in total

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