Literature DB >> 24723469

Detecting protein atom correlations using correlation of probability of recurrence.

Hiba Fataftah1, Wael Karain.   

Abstract

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 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.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  BLIP; cross-correlation; molecular dynamics; mutual information

Mesh:

Substances:

Year:  2014        PMID: 24723469     DOI: 10.1002/prot.24574

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  4 in total

1.  Weighted protein residue networks based on joint recurrences between residues.

Authors:  Wael I Karain; Nael I Qaraeen
Journal:  BMC Bioinformatics       Date:  2015-05-26       Impact factor: 3.169

2.  Detecting transitions in protein dynamics using a recurrence quantification analysis based bootstrap method.

Authors:  Wael I Karain
Journal:  BMC Bioinformatics       Date:  2017-11-28       Impact factor: 3.169

Review 3.  Tackling the Antibiotic Resistance Caused by Class A β-Lactamases through the Use of β-Lactamase Inhibitory Protein.

Authors:  Warawan Eiamphungporn; Nalini Schaduangrat; Aijaz Ahmad Malik; Chanin Nantasenamat
Journal:  Int J Mol Sci       Date:  2018-07-30       Impact factor: 5.923

4.  Identification of Phytoconstituents as Potent Inhibitors of Casein Kinase-1 Alpha Using Virtual Screening and Molecular Dynamics Simulations.

Authors:  Alaa Shafie; Shama Khan; Taj Mohammad; Farah Anjum; Gulam Mustafa Hasan; Dharmendra Kumar Yadav; Md Imtaiyaz Hassan
Journal:  Pharmaceutics       Date:  2021-12-15       Impact factor: 6.321

  4 in total

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