Deep learning-based de novo drug design: principles, tools and practice / 药学学报
Acta Pharmaceutica Sinica
;
(12): 2610-2622, 2023.
Artigo
em Chinês
| WPRIM
| ID: wpr-999013
ABSTRACT
Design of structurally-novel drug molecules with deep learning can overcome the technical bottleneck of classical computer-aided drug design. It has become the frontier of new technique research on drug design, and has shown great potential in drug research and development practice. This review starts from the basic principles of deep learning-driven de novo drug design, goes on with the brief introduction to deep molecular generation techniques as well as computational tools and the analysis on representative successful cases, and eventually provides our perspective for future direction and application prospect about this technique. This review will provide ideas on new technique research and references for new drug research and development practice to which this technique is applied.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Idioma:
Chinês
Revista:
Acta Pharmaceutica Sinica
Ano de publicação:
2023
Tipo de documento:
Artigo
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