Cargando…
Target-Specific Machine Learning Scoring Function Improved Structure-Based Virtual Screening Performance for SARS-CoV-2 Drugs Development
Leveraging machine learning has been shown to improve the accuracy of structure-based virtual screening. Furthermore, a tremendous amount of empirical data is publicly available, which further enhances the performance of the machine learning approach. In this proof-of-concept study, the 3CL(pro) enz...
Autores principales: | Tahir ul Qamar, Muhammad, Zhu, Xi-Tong, Chen, Ling-Ling, Alhussain, Laila, Alshiekheid, Maha A., Theyab, Abdulrahman, Algahtani, Mohammad |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9570399/ https://www.ncbi.nlm.nih.gov/pubmed/36232307 http://dx.doi.org/10.3390/ijms231911003 |
Ejemplares similares
-
Network pharmacology based virtual screening of Flavonoids from Dodonea angustifolia and the molecular mechanism against inflammation
por: Alamri, Mubarak A., et al.
Publicado: (2023) -
Structural basis of SARS-CoV-2 3CL(pro) and anti-COVID-19 drug discovery from medicinal plants
por: Tahir ul Qamar, Muhammad, et al.
Publicado: (2020) -
Machine‐learning scoring functions to improve structure‐based binding affinity prediction and virtual screening
por: Ain, Qurrat Ul, et al.
Publicado: (2015) -
Neonatal rhizomelic chondrodysplasia punctata type 2 caused by a novel homozygous variant in the GNPAT gene
por: Sayed, Jamal, et al.
Publicado: (2023) -
Reverse vaccinology assisted designing of multiepitope-based subunit vaccine against SARS-CoV-2
por: Tahir ul Qamar, Muhammad, et al.
Publicado: (2020)