Drug discovery and computational strategies in the multitarget drugs era

• Autor(a) principal: Viana, Jéssika de Oliveira
• Data de Publicação: 2018
• Outros Autores: Félix, Mayara Barbalho, Maia, Mayarara dos Santos, Serafim, Vanessa de Lima, Scotti, Luciana, Scotti, Marcus Tullius
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Brazilian Journal of Pharmaceutical Sciences
• Texto Completo: https://www.revistas.usp.br/bjps/article/view/153909
• topic: Drug design; Multitarget compounds; In silico; Diseases

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.