SemiHS: An Iterative Semi-Supervised Approach for Predicting Proteinprotein Interaction Hot Spots
Keywords: Bayes network; Human Growth Hormone; ML methods; SVM; Semi-Supervised Learning; SemiHS; Systematic mutagenesis; apoptosis; desolvation energy; double water exclusion; hot spots; jackknife test; mutagenesis; protein engineering; protein interfaces; protein-protein interaction; semi-supervised
Document Type: Research Article
Publication date: 2011-09-01
- Protein & Peptide Letters publishes short papers in all important aspects of protein and peptide research, including structural studies, recombinant expression, function, synthesis, enzymology, immunology, molecular modeling, drug design etc. Manuscripts must have a significant element of novelty, timeliness and urgency that merit rapid publication. Reports of crystallisation, and preliminary structure determinations of biologically important proteins are acceptable. Purely theoretical papers are also acceptable provided they provide new insight into the principles of protein/peptide structure and function.