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SPOTONE: Hot Spots on Protein Complexes with Extremely Randomized Trees via Sequence-Only Features
Protein Hot-Spots (HS) are experimentally determined amino acids, key to small ligand binding and tend to be structural landmarks on protein–protein interactions. As such, they were extensively approached by structure-based Machine Learning (ML) prediction methods. However, the availability of a muc...
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| Publicado en: | Int J Mol Sci |
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| Autores principales: | , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7582262/ https://ncbi.nlm.nih.gov/pubmed/33019775 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ijms21197281 |
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