Drug discovery: In silico dry data can bypass biological wet data?
Br J Pharmacol
; 181(3): 340-344, 2024 02.
Article
em En
| MEDLINE
| ID: mdl-37872106
ABSTRACT
The recent and extraordinary increase in computer power, along with the availability of efficient algorithms based on artificial intelligence, has prompted a large number of inexperienced scientists to challenge the complex and yet competitive world of drug discovery, by pretending to identify new hits through the sole use of computer aided drug design (CADD). Does the golden era of dry data run the risk of overshadowing the importance of wet data and, in doing so, forget that in silico and biological data need each other in successful preclinical drug discovery programmes?
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Inteligência Artificial
/
Desenho Assistido por Computador
Idioma:
En
Revista:
Br J Pharmacol
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
Itália