ANALYSIS OF INTRINSICALLY DISORDERED REGIONS IN PROTEINS USING RECURRENCE QUANTIFICATION ANALYSIS
作者： ABHIJIT KULKARNI , SHREYAS KARNIK , SAVITA ANGADI
DOI: 10.1142/S0218127411028969
关键词: Computer science 、 Protein sequencing 、 Protein folding 、 Amino acid residue 、 Complex dynamics 、 Computational biology 、 Bioinformatics 、 Sequence (medicine) 、 Pattern recognition (psychology) 、 Recurrence quantification analysis
摘要: Identification of disordered regions in protein sequence(s) is a very important problem and long standing puzzle to biologists. In many proteins, these structural disorders (an outcome improper folding) inside an otherwise ordered structure exhibit biological functions. Classical approaches identify sequence rely mainly on the pattern recognition algorithms where amino acid residues are classified as or disordered. this work, we employ recurrence quantification analysis based approach understand complex dynamics underlying regions. We hypothesize demonstrate that proteins with show strong evidence order-chaos-order transition by using windowed database 476 available from .
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