Drug discovery and computational strategies in the multitarget drugs era
Braz. J. Pharm. Sci. (Online)
;
54(spe): e01010, 2018. tab, graf
Artículo
en Inglés
| LILACS
| ID: biblio-974423
ABSTRACT
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.
Texto completo:
Disponible
Índice:
LILACS (Américas)
Asunto principal:
Simulación por Computador
/
Diseño de Fármacos
Idioma:
Inglés
Revista:
Braz. J. Pharm. Sci. (Online)
Asunto de la revista:
Farmacologia
/
Teraputica
/
Toxicologia
Año:
2018
Tipo del documento:
Artículo
País de afiliación:
Brasil
Institución/País de afiliación:
Federal University of Paraíba/BR
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