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Prediction of sub-cavity binding preferences using an adaptive physicochemical structure representation

Motivation: The ability to predict binding profiles for an arbitrary protein can significantly improve the areas of drug discovery, lead optimization and protein function prediction. At present, there are no successful algorithms capable of predicting binding profiles for novel proteins. Existing me...

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Detalhes bibliográficos
Main Authors: Wallach, Izhar, Lilien, Ryan H.
Formato: Artigo
Idioma:English
Publicado em: Oxford University Press 2009
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2687958/
https://ncbi.nlm.nih.gov/pubmed/19478002
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btp204
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