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Detecting protein atom correlations using correlation of probability of recurrence
Author(s) -
Fataftah Hiba,
Karain Wael
Publication year - 2014
Publication title -
proteins: structure, function, and bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.699
H-Index - 191
eISSN - 1097-0134
pISSN - 0887-3585
DOI - 10.1002/prot.24574
Subject(s) - correlation , series (stratigraphy) , chemistry , statistical physics , mathematics , physics , biology , geometry , paleontology
The dynamic cross‐correlation Map(DCCM) technique has been used extensively to study protein dynamics. In this work, we introduce the use of the method of correlation of probability of recurrence (CPR) as a complementary method to detect correlations between protein residue atoms. Time series of the distances of the C α atoms of the β‐lactamase inhibitory protein (BLIP) from a reference position are analyzed using CPR and mutual information (MI). The results are compared to those provided by DCCM. In comparison to MI, CPR is found to detect more of the correlations present in DCCM. It is also able to detect a small number of significant correlations between distant residues that are not detected by DCCM. Proteins 2014; 82:2180–2189. © 2014 Wiley Periodicals, Inc.