RRCRank: a fusion method using rank strategy for residue-residue contact prediction
نویسندگان
چکیده
منابع مشابه
Residue-Residue Contact Prediction Based on Evolutionary Computation
In this study, a novel residue-residue contacts prediction approach based on evolutionary computation is presented. The prediction is based on four amino acids properties. In particular, we consider the hydrophobicity, the polarity, the charge and residues size. The prediction model consists of a set of rules that identifies contacts between amino acids.
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A neural network method (SPINE-2D) is introduced to provide a sequence-based prediction of residue-residue contact maps. This method is built on the success of SPINE in predicting secondary structure, residue solvent accessibility, and backbone torsion angles via large-scale training with overfit protection and a two-layer neural network. SPINE-2D achieved a 10-fold cross-validated accuracy of ...
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Proteins are flexible, and this flexibility has an essential functional role. Flexibility can be observed in loop regions, rearrangements between secondary structure elements, and conformational changes between entire domains. However, most protein structure alignment methods treat protein structures as rigid bodies. Thus, these methods fail to identify the equivalences of residue pairs in regi...
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ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2017
ISSN: 1471-2105
DOI: 10.1186/s12859-017-1811-9