Literature DB >> 11807945

Recurrence quantification analysis reveals interaction partners in paramyxoviridae envelope glycoproteins.

Alessandro Giuliani1, Maurizio Tomasi.   

Abstract

The paramyxovirus envelope fuses with the host cell membrane by cooperative interaction of two transmembrane glycoproteins: the hemagglutinin neuraminidase (HN) and the fusion (F) glycoprotein. The interaction appears to be finely regulated, as both proteins must derive from the same viral species to obtain a functional interaction. Because HN and F do not form stable complexes, this interaction is poorly characterized. This article demonstrates that a modification of a classical bioinformatic method based on the co-evolution of interacting partners can detect the specificity of the HN and F interaction. The proposed approach relies on a relatively new nonlinear signal analysis technique, recurrence quantification analysis (RQA), applied to the hydrophobicity sequences of viral proteins. This technique is able to shed light on the interaction between HN and F proteins in the virus-cell fusion and, more generally, permits the quantitative comparison of nonhomologue protein systems. On the contrary, the same co-evolution approach, based on the classical sequence alignment procedure, was unable to discriminate interacting partners from the general strict correlation existing between the evolution of viral proteins as a whole. The cooperation between HN and F in the fusion process is thus demonstrated by a bioinformatic, purely sequence-dependent, perspective. Copyright 2001 Wiley-Liss, Inc.

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Year:  2002        PMID: 11807945     DOI: 10.1002/prot.10044

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


  5 in total

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Journal:  Biophys J       Date:  2003-12       Impact factor: 4.033

2.  Coevolutionary patterns in plasminogen activation.

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3.  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

4.  A computational approach identifies two regions of Hepatitis C Virus E1 protein as interacting domains involved in viral fusion process.

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Journal:  BMC Struct Biol       Date:  2009-07-29

Review 5.  Emerging Computational Methods for the Rational Discovery of Allosteric Drugs.

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  5 in total

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