Novel Development of Predictive Feature Fingerprints to Identify Chemistry-Based Features for the Effective Drug Design of SARS-CoV-2 Target Antagonists and Inhibitors Using Machine Learning

[Image: see text] A unique approach to bioactivity and chemical data curation coupled with random forest analyses has led to a series of target-specific and cross-validated predictive feature fingerprints (PFF) that have high predictability across multiple therapeutic targets and disease stages invo...

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Detalles Bibliográficos
Autores principales: Cooper, Kelvin, Baddeley, Christopher, French, Bernie, Gibson, Katherine, Golden, James, Lee, Thiam, Pierre, Sadrach, Weiss, Brent, Yang, Jason
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7905939/
https://www.ncbi.nlm.nih.gov/pubmed/33644594
http://dx.doi.org/10.1021/acsomega.0c05303

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7905939/
https://www.ncbi.nlm.nih.gov/pubmed/33644594
http://dx.doi.org/10.1021/acsomega.0c05303

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