SPOTONE is a new Machine-Learning (ML) predictor able to accurately classify protein Hot-Spots (HS) via sequence-only features. This algorithm shows an accuracy, AUROC, precision, recall and F1-score of 0.82, 0.83, 0.91, 0.82 and 0.85, respectively, in an independent testing set.

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Rosário-Ferreira N, Baptista SJ, Barreto CAV, et al. In Silico End-to-End Protein-Ligand Interaction Characterization Pipeline: The Case of SARS-CoV-2. ACS Synthetic Biology. 2021 Nov;10(11):3209-3235. DOI: 10.1021/acssynbio.1c00368. PMID: 34736321; PMCID: PMC8577377.