The Recognition of 27-Class Protein Folds: Approached by Increment of Diversity Based on Multi-Characteristic Parameters
Based on the primary sequence, by selecting the pseudo amino acid composition, position weight matrix score, the predicted secondary structure and the second neighbor dipeptide composition as characteristic parameters, an approach of diversity increment for predicting 27-class protein folds is proposed. Overall recognition accuracy reaches 61.10% in the independent testing.
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Document Type: Research Article
Publication date: 2009-09-01
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- 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.