A Novel Method to Predict Protein-Protein Interactions Based on the Information of Protein-Protein Interaction Networks and Protein Sequence
Keywords: Auto covariance; HIV-1 reverse transcriptase; PINs; RF algorithm; WoLFPSORT package; cellular automaton image; hierarchical random graph; human PINs; human PPIs; independent dataset; link prediction; net charge index; non-interacting protein pairs; paralogous verification methods; polarizability; protein-protein interaction networks; protein-protein interactions; protein-protein sequence; proteomics studies; random forest; solvent accessible surface area
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.