| Literature DB >> 19275559 |
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:
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Year: 2009 PMID: 19275559 DOI: 10.2174/138945009787581122
Source DB: PubMed Journal: Curr Drug Targets ISSN: 1389-4501 Impact factor: 3.465