Cargando…
miDruglikeness: Subdivisional Drug-Likeness Prediction Models Using Active Ensemble Learning Strategies
The drug development pipeline involves several stages including in vitro assays, in vivo assays, and clinical trials. For candidate selection, it is important to consider that a compound will successfully pass through these stages. Using graph neural networks, we developed three subdivisional models...
Autores principales: | Cai, Chenjing, Lin, Haoyu, Wang, Hongyi, Xu, Youjun, Ouyang, Qi, Lai, Luhua, Pei, Jianfeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9855665/ https://www.ncbi.nlm.nih.gov/pubmed/36671415 http://dx.doi.org/10.3390/biom13010029 |
Ejemplares similares
-
Subdivisional Pathologies in Peripheral Vestibular Disorders
por: Kim, Sung Huhn
Publicado: (2022) -
Analysis of the uncharted, druglike property space by self-organizing maps
por: Takács, Gergely, et al.
Publicado: (2021) -
Automatic retrosynthetic route planning using template-free models
por: Lin, Kangjie, et al.
Publicado: (2020) -
CavitySpace: A Database of Potential Ligand Binding Sites in the Human Proteome
por: Wang, Shiwei, et al.
Publicado: (2022) -
QEX: target-specific druglikeness filter enhances ligand-based virtual screening
por: Mochizuki, Masahiro, et al.
Publicado: (2018)