Cargando…
Selective Inhibitor Design for Kinase Homologs Using Multiobjective Monte Carlo Tree Search
[Image: see text] Designing highly selective molecules for a drug target protein is a challenging task in drug discovery. This task can be regarded as a multiobjective problem that simultaneously satisfies criteria for various objectives, such as selectivity for a target protein, pharmacokinetic end...
Autores principales: | Yoshizawa, Tatsuya, Ishida, Shoichi, Sato, Tomohiro, Ohta, Masateru, Honma, Teruki, Terayama, Kei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709912/ https://www.ncbi.nlm.nih.gov/pubmed/36334094 http://dx.doi.org/10.1021/acs.jcim.2c00787 |
Ejemplares similares
-
RNA inverse folding using Monte Carlo tree search
por: Yang, Xiufeng, et al.
Publicado: (2017) -
Retrosynthetic planning with experience-guided Monte Carlo tree search
por: Hong, Siqi, et al.
Publicado: (2023) -
MOTiFS: Monte Carlo Tree Search Based Feature Selection
por: Chaudhry, Muhammad Umar, et al.
Publicado: (2018) -
kGCN: a graph-based deep learning framework for chemical structures
por: Kojima, Ryosuke, et al.
Publicado: (2020) -
MDTS: automatic complex materials design using Monte Carlo tree search
por: M. Dieb, Thaer, et al.
Publicado: (2017)