Substituting random forest for multiple linear regression improves binding affinity prediction of scoring functions: Cyscore as a case study

BACKGROUND: State-of-the-art protein-ligand docking methods are generally limited by the traditionally low accuracy of their scoring functions, which are used to predict binding affinity and thus vital for discriminating between active and inactive compounds. Despite intensive research over the year...

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Detalles Bibliográficos
Autores principales: Li, Hongjian, Leung, Kwong-Sak, Wong, Man-Hon, Ballester, Pedro J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4153907/
https://www.ncbi.nlm.nih.gov/pubmed/25159129
http://dx.doi.org/10.1186/1471-2105-15-291

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4153907/
https://www.ncbi.nlm.nih.gov/pubmed/25159129
http://dx.doi.org/10.1186/1471-2105-15-291

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