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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...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2009
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2687958/ https://www.ncbi.nlm.nih.gov/pubmed/19478002 http://dx.doi.org/10.1093/bioinformatics/btp204 |