Data/hora: 03/06/2024 02:09:23

Provedor de dados: | Brazilian Journal of Pharmaceutical Sciences
País: | Brazil
Título: | Drug discovery and computational strategies in the multitarget drugs era
Autores: | Viana,Jéssika de Oliveira; Félix,Mayara Barbalho; Maia,Mayara dos Santos; Serafim,Vanessa de Lima; Scotti,Luciana; Scotti,Marcus Tullius.
Data: | 2018-01-01
Ano: | 2018
Palavras-chave: | Drug design; Multitarget compounds; In silico; Diseases.
Resumo: | 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.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1984-82502018000700409
Editor: | Universidade de São Paulo, Faculdade de Ciências Farmacêuticas
Relação: | 10.1590/s2175-97902018000001010
Formato: | text/html
Fonte: | Brazilian Journal of Pharmaceutical Sciences  v.54 n.spe 2018
Fonte: | info:eu-repo/semantics/openAccess