Literature DB >> 16434743

Determination of network of residues that regulate allostery in protein families using sequence analysis.

Ruxandra I Dima1, D Thirumalai.   

Abstract

Allosteric interactions between residues that are spatially apart and well separated in sequence are important in the function of multimeric proteins as well as single-domain proteins. This observation suggests that, among the residues that are involved in long-range communications, mutation at one site should affect interactions at a distant site. By adopting a sequence-based approach, we present an automated approach that uses a generalization of the familiar sequence entropy in conjunction with a coupled two-way clustering algorithm, to predict the network of interactions that trigger allosteric interactions in proteins. We use the method to identify the subset of dynamically important residues in three families, namely, the small PDZ family, G protein-coupled receptors (GPCR), and the Lectins, which are cell-adhesion receptors that mediate the tethering and rolling of leukocytes on inflamed endothelium. For the PDZ and GPCR families, our procedure predicts, in agreement with previous studies, a network containing a small number of residues that are involved in their function. Application to the Lectin family reveals a network of residues interspersed throughout the C-terminal end of the structure that are responsible for binding to ligands. Based on our results and previous studies, we propose that functional robustness requires that only a small subset of distantly connected residues be involved in transmitting allosteric signals in proteins.

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Year:  2006        PMID: 16434743      PMCID: PMC2242462          DOI: 10.1110/ps.051767306

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  34 in total

1.  Superparamagnetic clustering of data.

Authors: 
Journal:  Phys Rev Lett       Date:  1996-04-29       Impact factor: 9.161

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Authors:  W S Somers; J Tang; G D Shaw; R T Camphausen
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3.  Mapping pathways of allosteric communication in GroEL by analysis of correlated mutations.

Authors:  Itamar Kass; Amnon Horovitz
Journal:  Proteins       Date:  2002-09-01

4.  ON THE NATURE OF ALLOSTERIC TRANSITIONS: A PLAUSIBLE MODEL.

Authors:  J MONOD; J WYMAN; J P CHANGEUX
Journal:  J Mol Biol       Date:  1965-05       Impact factor: 5.469

5.  Structural determinants of allosteric ligand activation in RXR heterodimers.

Authors:  Andrew I Shulman; Christopher Larson; David J Mangelsdorf; Rama Ranganathan
Journal:  Cell       Date:  2004-02-06       Impact factor: 41.582

6.  Effectiveness of correlation analysis in identifying protein residues undergoing correlated evolution.

Authors:  D D Pollock; W R Taylor
Journal:  Protein Eng       Date:  1997-06

7.  Correlated mutations contain information about protein-protein interaction.

Authors:  F Pazos; M Helmer-Citterich; G Ausiello; A Valencia
Journal:  J Mol Biol       Date:  1997-08-29       Impact factor: 5.469

8.  Energetics of protein-protein interactions: analysis of the barnase-barstar interface by single mutations and double mutant cycles.

Authors:  G Schreiber; A R Fersht
Journal:  J Mol Biol       Date:  1995-04-28       Impact factor: 5.469

Review 9.  Review: allostery in chaperonins.

Authors:  A Horovitz; Y Fridmann; G Kafri; O Yifrach
Journal:  J Struct Biol       Date:  2001-08       Impact factor: 2.867

10.  Correlation of co-ordinated amino acid substitutions with function in viruses related to tobacco mosaic virus.

Authors:  D Altschuh; A M Lesk; A C Bloomer; A Klug
Journal:  J Mol Biol       Date:  1987-02-20       Impact factor: 5.469

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  38 in total

1.  Sequence signatures of allosteric proteins towards rational design.

Authors:  Saritha Namboodiri; Chandra Verma; Pawan K Dhar; Alessandro Giuliani; Achuthsankar S Nair
Journal:  Syst Synth Biol       Date:  2011-02-22

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Authors:  Faruck Morcos; Andrea Pagnani; Bryan Lunt; Arianna Bertolino; Debora S Marks; Chris Sander; Riccardo Zecchina; José N Onuchic; Terence Hwa; Martin Weigt
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3.  A structure-based sliding-rebinding mechanism for catch bonds.

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Journal:  Biophys J       Date:  2006-12-01       Impact factor: 4.033

4.  Dynamics of allosteric transitions in GroEL.

Authors:  Changbong Hyeon; George H Lorimer; D Thirumalai
Journal:  Proc Natl Acad Sci U S A       Date:  2006-11-29       Impact factor: 11.205

5.  Screened nonbonded interactions in native proteins manipulate optimal paths for robust residue communication.

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Journal:  Biophys J       Date:  2007-02-09       Impact factor: 4.033

6.  Reassessing a sparse energetic network within a single protein domain.

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Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-13       Impact factor: 11.205

7.  Statistical coupling analysis of aspartic proteinases based on crystal structures of the Trichoderma reesei enzyme and its complex with pepstatin A.

Authors:  Alessandro S Nascimento; Sandra Krauchenco; Alexander M Golubev; Alla Gustchina; Alexander Wlodawer; Igor Polikarpov
Journal:  J Mol Biol       Date:  2008-07-22       Impact factor: 5.469

8.  Molecular dynamics simulation of the Escherichia coli NikR protein: equilibrium conformational fluctuations reveal interdomain allosteric communication pathways.

Authors:  Michael J Bradley; Peter T Chivers; Nathan A Baker
Journal:  J Mol Biol       Date:  2008-03-14       Impact factor: 5.469

9.  Understanding protein structure from a percolation perspective.

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Journal:  Biophys J       Date:  2009-09-16       Impact factor: 4.033

10.  Helices 2 and 3 are the initiation sites in the PrP(C) → PrP(SC) transition.

Authors:  Jie Chen; D Thirumalai
Journal:  Biochemistry       Date:  2012-12-31       Impact factor: 3.162

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