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Protein-protein interface hot spots prediction based on a hybrid feature selection strategy
BACKGROUND: Hot spots are interface residues that contribute most binding affinity to protein-protein interaction. A compact and relevant feature subset is important for building machine learning methods to predict hot spots on protein-protein interfaces. Although different methods have been used to...
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| Publicado en: | BMC Bioinformatics |
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| Autores principales: | , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BioMed Central
2018
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5769548/ https://ncbi.nlm.nih.gov/pubmed/29334889 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2009-5 |
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