Cargando…
SARS-CoV2 billion-compound docking
This dataset contains ligand conformations and docking scores for 1.4 billion molecules docked against 6 structural targets from SARS-CoV2, representing 5 unique proteins: MPro, NSP15, PLPro, RDRP, and the Spike protein. Docking was carried out using the AutoDock-GPU platform on the Summit supercomp...
Autores principales: | Rogers, David M., Agarwal, Rupesh, Vermaas, Josh V., Smith, Micholas Dean, Rajeshwar, Rajitha T., Cooper, Connor, Sedova, Ada, Boehm, Swen, Baker, Matthew, Glaser, Jens, Smith, Jeremy C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10044124/ https://www.ncbi.nlm.nih.gov/pubmed/36977690 http://dx.doi.org/10.1038/s41597-023-01984-9 |
Ejemplares similares
-
SAVI, in silico generation of billions of easily synthesizable compounds through expert-system type rules
por: Patel, Hitesh, et al.
Publicado: (2020) -
A 1.2 Billion Pixel Human-Labeled Dataset for Data-Driven Classification of Coastal Environments
por: Buscombe, Daniel, et al.
Publicado: (2023) -
DIPS-Plus: The enhanced database of interacting protein structures for interface prediction
por: Morehead, Alex, et al.
Publicado: (2023) -
A benchmark dataset for binary segmentation and quantification of dust emissions from unsealed roads
por: De Silva, Asanka, et al.
Publicado: (2023) -
BillionCOV: An enriched billion-scale collection of COVID-19 tweets for efficient hydration
por: Lamsal, Rabindra, et al.
Publicado: (2023)