Literature DB >> 10192943

Superpendentic index: a novel topological descriptor for predicting biological activity.

S Gupta1, M Singh, A K Madan.   

Abstract

A simple highly degenerating, pendenticity based, topological descriptor termed as superpendentic index has been conceptualized and its discriminating power investigated with regard to antiulcer activity. A data set consisting of 128 analogues of 4-substituted-2-guanidino thiazoles was selected for the present study. These analogues are reversible, competitive, and selective inhibitors of gastric H+,K(+)-ATPase enzyme. The value of superpendentic index of each analogue in the data set was computed and active range was identified. The biological activity assigned to each analogue using superpendentic index was subsequently compared with the reported in vitro and in vivo inhibitory activities. The accuracy of classification of analogues based on in vivo activity was found to be 82% in the active range using superpendentic index.

Entities:  

Mesh:

Substances:

Year:  1999        PMID: 10192943     DOI: 10.1021/ci980073q

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  9 in total

1.  Classification of HIV protease inhibitors on the basis of their antiviral potency using radial basis function neural networks.

Authors:  S J Patankar; P C Jurs
Journal:  J Comput Aided Mol Des       Date:  2003 Feb-Apr       Impact factor: 3.686

2.  Prediction of the Fate of Organic Compounds in the Environment From Their Molecular Properties: A Review.

Authors:  Laure Mamy; Dominique Patureau; Enrique Barriuso; Carole Bedos; Fabienne Bessac; Xavier Louchart; Fabrice Martin-Laurent; Cecile Miege; Pierre Benoit
Journal:  Crit Rev Environ Sci Technol       Date:  2015-06-18       Impact factor: 12.561

Review 3.  Predicting monoamine oxidase inhibitory activity through ligand-based models.

Authors:  Santiago Vilar; Giulio Ferino; Elias Quezada; Lourdes Santana; Carol Friedman
Journal:  Curr Top Med Chem       Date:  2012       Impact factor: 3.295

4.  Models for anti-tumor activity of bisphosphonates using refined topochemical descriptors.

Authors:  Rakesh K Goyal; G Singh; A K Madan
Journal:  Naturwissenschaften       Date:  2011-09-04

5.  Models for antitubercular activity of 5â-O-[(N-Acyl)sulfamoyl]adenosines.

Authors:  Rakesh K Goyal; Harish Dureja; Gajendra Singh; Anil Kumar Madan
Journal:  Sci Pharm       Date:  2010-08-13

6.  Models for the prediction of receptor tyrosine kinase inhibitory activity of substituted 3-aminoindazole analogues.

Authors:  Monika Gupta; Harish Dureja; Anil Kumar Madan
Journal:  Sci Pharm       Date:  2011-04-28

7.  Application of different chemometric tools in QSAR study of azolo-adamantanes against influenza A virus.

Authors:  R Karbakhsh; R Sabet
Journal:  Res Pharm Sci       Date:  2011-01

8.  Prediction of partition coefficient of some 3-hydroxy pyridine-4-one derivatives using combined partial least square regression and genetic algorithm.

Authors:  M Shahlaei; A Fassihi; L Saghaie; A Zare
Journal:  Res Pharm Sci       Date:  2014 Mar-Apr

9.  QSAR study of antimicrobial 3-hydroxypyridine-4-one and 3-hydroxypyran-4-one derivatives using different chemometric tools.

Authors:  Razieh Sabet; Afshin Fassihi
Journal:  Int J Mol Sci       Date:  2008-12-02       Impact factor: 6.208

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.