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A knowledge-guided strategy for improving the accuracy of scoring functions in binding affinity prediction
BACKGROUND: Current scoring functions are not very successful in protein-ligand binding affinity prediction albeit their popularity in structure-based drug designs. Here, we propose a general knowledge-guided scoring (KGS) strategy to tackle this problem. Our KGS strategy computes the binding consta...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2868011/ https://www.ncbi.nlm.nih.gov/pubmed/20398404 http://dx.doi.org/10.1186/1471-2105-11-193 |