Literature DB >> 19842710

RED: a set of molecular descriptors based on Renyi entropy.

Laura Delgado-Soler1, Raul Toral, M Santos Tomás, Jaime Rubio-Martinez.   

Abstract

New molecular descriptors, RED (Renyi entropy descriptors), based on the generalized entropies introduced by Renyi are presented. Topological descriptors based on molecular features have proven to be useful for describing molecular profiles. Renyi entropy is used as a variability measure to contract a feature-pair distribution composing the descriptor vector. The performance of RED descriptors was tested for the analysis of different sets of molecular distances, virtual screening, and pharmacological profiling. A free parameter of the Renyi entropy has been optimized for all the considered applications.

Entities:  

Year:  2009        PMID: 19842710     DOI: 10.1021/ci900275w

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  3 in total

1.  Towards information inequalities for generalized graph entropies.

Authors:  Lavanya Sivakumar; Matthias Dehmer
Journal:  PLoS One       Date:  2012-06-08       Impact factor: 3.240

Review 2.  Information theory applications for biological sequence analysis.

Authors:  Susana Vinga
Journal:  Brief Bioinform       Date:  2013-09-20       Impact factor: 11.622

3.  Exploring the ligand-protein networks in traditional chinese medicine: current databases, methods and applications.

Authors:  Mingzhu Zhao; Dongqing Wei
Journal:  Adv Exp Med Biol       Date:  2015       Impact factor: 2.622

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.