Literature DB >> 18221308

Comparative QSAR study on para-substituted aromatic sulphonamides as CAII inhibitors: information versus topological (distance-based and connectivity) indices.

Jyoti Singh1, Basheerulla Shaik, Shalini Singh, Vijay K Agrawal, Padmakar V Khadikar, Omar Deeb, Claudiu T Supuran.   

Abstract

Comparative quantitative structure-activity relationship studies on para-substituted aromatic sulphonamides carbonic anhydrase II (CAII) inhibitors are reported in this paper. The study is made utilizing (i) information indices along; (ii) distance-based and connectivity indices and (iii) combination of information, distance-based and connectivity type topological indices. The study has shown that distance-based and connectivity type indices are superior for modelling, monitoring and estimating CAII inhibition. The results are critically discussed using a variety of statistical parameters. Our results show that starting from the mono-parametric regression itself, our results are superior: Furthermore, our methodology allowed carrying out much higher-parametric regressions, yielding a nine-parametric model with R2 as high as 0.8375. The eight-parametric regression, gave R2= 0.8343. As there is not much difference, we have considered the eight-parametric regression the best.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18221308     DOI: 10.1111/j.1747-0285.2007.00625.x

Source DB:  PubMed          Journal:  Chem Biol Drug Des        ISSN: 1747-0277            Impact factor:   2.817


  2 in total

1.  RPF151, a novel capsaicin-like analogue: in vitro studies and in vivo preclinical antitumor evaluation in a breast cancer model.

Authors:  Adilson Kleber Ferreira; Maurício Temotheo Tavares; Kerly Fernanda Mesquita Pasqualoto; Ricardo Alexandre de Azevedo; Sarah Fernandes Teixeira; Wilson Alves Ferreira-Junior; Ariane Matiello Bertin; Paulo Luiz de-Sá-Junior; José Alexandre Marzagão Barbuto; Carlos Rogério Figueiredo; Yara Cury; Mariana Celestina Frojuello Costa Bernstorff Damião; Roberto Parise-Filho
Journal:  Tumour Biol       Date:  2015-04-20

2.  Multiple Linear Regressions by Maximizing the Likelihood under Assumption of Generalized Gauss-Laplace Distribution of the Error.

Authors:  Lorentz Jäntschi; Donatella Bálint; Sorana D Bolboacă
Journal:  Comput Math Methods Med       Date:  2016-12-07       Impact factor: 2.238

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.