Literature DB >> 18068194

Role of cation-pi interactions in single chain 'all-alpha' proteins.

Remila L Martis1, Sameer Kumar Singh, M Michael Gromiha, C Santhosh.   

Abstract

Cation-pi interactions are known to be important contributors to protein stability and ligand-protein interactions. In this study, we have analyzed the influence of cation-pi interactions in single chain 'all-alpha' proteins. We observed 135 cation-pi interactions in a data set of 75 proteins. No significant correlation was observed between the total number of amino acid residues and number of cation-pi interactions. These interactions are mainly formed by long-range contacts and there is preference of Arg over Lys in these interactions. Arg-Phe interactions are predominant among the various pairs analyzed. Despite the scarcity of interactions involving Trp, the average energy for Trp-cation interactions, was quite high. This information implies that the cation-pi interactions involving Trp, maybe of high relevance to the proteins. Secondary structure analysis reveals that cation-pi interactions are formed preferably between residues, in which at least one of them, is in the secondary structure of alpha-helical segments. Among the various types of folds of 'all-alpha' proteins considered for the analysis, proteins belonging to alpha-alpha superhelix fold have the highest number of cation-pi interaction forming residues.

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Year:  2008        PMID: 18068194     DOI: 10.1016/j.jtbi.2007.10.024

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  4 in total

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Journal:  Protoplasma       Date:  2010-04-09       Impact factor: 3.356

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Authors:  Marisa A Lima; Mario Oliveira-Neto; Marco Antonio S Kadowaki; Flavio R Rosseto; Erica T Prates; Fabio M Squina; Adriana F P Leme; Munir S Skaf; Igor Polikarpov
Journal:  J Biol Chem       Date:  2013-09-24       Impact factor: 5.157

3.  Theoretical study on the polar hydrogen-π (Hp-π) interactions between protein side chains.

Authors:  Qi-Shi Du; Qing-Yan Wang; Li-Qin Du; Dong Chen; Ri-Bo Huang
Journal:  Chem Cent J       Date:  2013-05-25       Impact factor: 4.215

4.  Lysine and arginine content of proteins: computational analysis suggests a new tool for solubility design.

Authors:  Jim Warwicker; Spyros Charonis; Robin A Curtis
Journal:  Mol Pharm       Date:  2013-11-27       Impact factor: 4.939

  4 in total

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