[Advances in using artificial intelligence for predicting protein-ligand binding affinity].
Sheng Wu Gong Cheng Xue Bao
; 40(7): 2070-2086, 2024 Jul 25.
Article
em Zh
| MEDLINE
| ID: mdl-39044576
ABSTRACT
The binding of proteins and ligands is a crucial aspect of life processes. The calculation of the protein-ligand binding affinity (PLBA) offers valuable insights into protein function, drug screening targets protein receptors, and enzyme modifications. In recent years, artificial intelligence (AI) has experienced rapid advancements, becoming widely used in PLBA prediction. This is attributed to its robust feature extraction ability, superior algorithm accuracy, and speedy calculations. Our paper aims to provide a comprehensive overview of AI predication process, associated resources, application scenarios, challenges, and potential solutions, serving as a valuable reference for the relevant research endeavors.
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Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Ligação Proteica
/
Algoritmos
/
Inteligência Artificial
/
Proteínas
Idioma:
Zh
Revista:
Sheng Wu Gong Cheng Xue Bao
Ano de publicação:
2024
Tipo de documento:
Article