Cheminformatics in the Identification of Drug Classes for the Treatment of Type 2 Diabetes.
Methods Mol Biol
; 2076: 71-84, 2020.
Article
em En
| MEDLINE
| ID: mdl-31586322
ABSTRACT
Computer-Aided Drug Design has developed into a powerful suite of methods that complement experimental approaches to the identification of new pharmacologically active compounds. In particular, virtual screening has become a standard tool for lead identification. Diverse examples of the application of virtual screening applied to T2DM target proteins have been reported. While several of these indicate successful identification of new lead compounds from synthetic chemical and natural product databases, many of them have been performed on a small scale and with limited validation. Careful study design and collaboration with cheminformaticians and computational chemists will enable these approaches to fulfil their potential for T2DM.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Diabetes Mellitus Tipo 2
/
Descoberta de Drogas
/
Quimioinformática
/
Hipoglicemiantes
Tipo de estudo:
Diagnostic_studies
/
Etiology_studies
Limite:
Animals
/
Humans
Idioma:
En
Ano de publicação:
2020
Tipo de documento:
Article