Prediction of Interaction Between Enzymes and Small Molecules in Metabolic Pathways Through Integrating Multiple Classifiers
Keywords: 10-Fold Cross-Validation; A-B-K voting system; Amino acid; Bagging; Enzyme; K-nearest neighbor algorithm; KNN; Matthew's correlation coefficient; Metabolism; SVM algorithm; benchmark dataset; gluconeogenesis; glycolysis; interaction; jackknife test; majority voting; metabolic pathways; oxidative phosphorylation; pseudo amino acid composition; small molecule
Document Type: Research Article
Publication date: 2010-12-01
- 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.