Literature DB >> 19275559

Bioinformatics tools for screening of antiparasitic drugs.

Walter Filgueira de Azevedo1, Raquel Dias, Luis Fernando Saraiva Macedo Timmers, Ivani Pauli, Rafael Andrade Caceres, Milena Botelho Pereira Soares.   

Abstract

Drug development has become the Holy Grail of many structural bioinformatics groups. The explosion of information about protein structures, ligand-binding affinity, parasite genome projects, and biological activity of millions of molecules opened the possibility to correlate this scattered information in order to generate reliable computational models to predict the likelihood of being able to modulate a target with a small-molecule drug. Computational methods have shown their potential in drug discovery and development allied with in vitro and in vivo methodologies. The present review discusses the main bioinformatics tools available for drug discovery and development.

Mesh:

Substances:

Year:  2009        PMID: 19275559     DOI: 10.2174/138945009787581122

Source DB:  PubMed          Journal:  Curr Drug Targets        ISSN: 1389-4501            Impact factor:   3.465


  1 in total

1.  A short note on predicted motifs in the Thaparocleidus wallagonius genome.

Authors:  Kalpana Singh; Bhumika Chauhan; Anshu Chaudhary; Monica Misra; Bindu Sharma; Hridaya S Singh
Journal:  Bioinformation       Date:  2021-11-30
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.