Drug discovery and computational strategies in the multitarget drugs era

Autor: Jéssika de Oliveira Viana, Mayara Barbalho Félix, Mayara dos Santos Maia, Vanessa de Lima Serafim, Luciana Scotti, Marcus Tullius Scotti
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Brazilian Journal of Pharmaceutical Sciences, Vol 54, Iss spe (2018)
Druh dokumentu: article
ISSN: 2175-9790
DOI: 10.1590/s2175-97902018000001010
Popis: The pharmaceutical industry is increasingly joining chemoinformatics in the search for the development of new drugs to be used in the treatment of diseases. These computational studies have the advantage of being less expensive and optimize the study time, and thus the interest in this area is increasing. Among the techniques used is the development of multitarget directed ligands (MTDLs), which has become an ascending technique, mainly due to the improvement in the quality of treatment involving several drugs. Multitarget therapy is more effective than traditional drug therapy that emphasizes maximum selectivity for a single target. In this review a multitarget drug survey was carried out as a promising strategy in several important diseases: neglected diseases, neurodegenerative diseases, AIDS, and cancer. In addition, we discuss Computer-Aided Drug Design (CADD) techniques as a tool in the projection of multitarget compounds against these diseases.
Databáze: Directory of Open Access Journals