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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| Formato: | article |
| Idioma: | eng |
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2020
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| Texto completo: | http://hdl.handle.net/10316/101280 |
| País: | Portugal |
| Oai: | oai:estudogeral.sib.uc.pt:10316/101280 |