Integrating the use of computational analysis techniques into modern pharmaceutical R&D

• Autor(a) principal: Silva, Maria Rosana Marques da
• Data de Publicação: 2022
• Outros Autores: Negreiros, Polyanna dos Santos, Santos, Pauline Sousa dos
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Research, Society and Development
• Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/29672
• topic: Molecular docking simulation; Molecular dynamics simulation; Biological products; Drug discovery; Teaching.; Simulação de acoplamento molecular; Simulação de dinâmica molecular; Produtos biológicos; Descoberta de drogas; Ensino.; Simulación del acoplamiento molecular; Simulación de dinámica molecular; Produits biologiques; Descubrimiento de fármacos; Enseñanza.

The path of the development process of new molecules for drugs is long and complex. Thus, in silico techniques are widely used for drug discovery. This paper aimed to analyze the importance of computational techniques in the current pharmaceutical research and development (R&D) scenario. This is an integrative literature review, which after the analysis of 202 articles found in scientific databases 11 were selected based on the inclusion criteria: research articles published in the last ten years, and exclusion criteria: theses, monographs, and review articles. The work shown here applied computational methods of drug development such as molecular docking, molecular dynamics and analyses of administration, distribution, metabolism, excretion and toxicity (ADMET). The phytoconstituents of the studies under analysis were isolated from the following plants Rhoeo spathacea, Pluchea indica, Piper Longum, Piper Nigrum, A. paniculata, E. harmandiana, S. flavescens, Justicia gendarussa, Burm f. and Punica granatum, besides the secondary metabolites such as flavonoids, flavones and polyphenols, which have been confirmed in these studies as drug candidates, by possessing potent inhibitory action against the proposed molecular targets. It was observed in these studies that computational drug development techniques, using the strategies of molecular docking and molecular dynamics, have been successful in discovering new chemical entities with potent biological activity from natural products. It denotes as prospects that R&D will increasingly play a leading role in simulation techniques, as these promote cost savings, reduced time, and medication innovation.