Cargando…
Machine intelligence-driven framework for optimized hit selection in virtual screening
Virtual screening (VS) aids in prioritizing unknown bio-interactions between compounds and protein targets for empirical drug discovery. In standard VS exercise, roughly 10% of top-ranked molecules exhibit activity when examined in biochemical assays, which accounts for many false positive hits, mak...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9306080/ https://www.ncbi.nlm.nih.gov/pubmed/35869511 http://dx.doi.org/10.1186/s13321-022-00630-7 |