Improved Prediction of Protein Ligand-Binding Sites Using Random Forests
Keywords: ASA; Feature vector for residue; Morita's method; NMR; PSAIA; Q-SiteFinder; SCREEN; Solvation energy; X-ray crystallography; hydrophobicity; jackknife test; ligand-binding site prediction; patch-based residue characterization; pocket depth; random forests
Document Type: Research Article
Publication date: 01 December 2011
- 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.