Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/2701
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dc.contributor.authorFatafta, Hebah
dc.contributor.authorKarain, Wael
dc.date.accessioned2016-10-15T08:53:33Z
dc.date.available2016-10-15T08:53:33Z
dc.date.issued2014
dc.identifier.citationen_US
dc.identifier.urihttp://hdl.handle.net/20.500.11889/2701
dc.descriptionen_US
dc.description.abstractThe 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 Cα 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
dc.language.isoenen_US
dc.publisherWileyen_US
dc.subject.lcshBeta lactamases - Inhibitors
dc.subject.lcshProtein engineering
dc.subject.lcshMolecular dynamics
dc.titleDetecting protein atom correlations using correlation of probability of recurrenceen_US
newfileds.item-access-typeopen_accessen_US
newfileds.thesis-progen_US
newfileds.general-subjectBioinformaticsen_US
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