Literature DB >> 20946841

Computational modeling of phosphotransfer complexes in two-component signaling.

Alexander Schug1, Martin Weigt, James A Hoch, Jose N Onuchic, Terence Hwa, Hendrik Szurmant.   

Abstract

Two-component signal transduction systems enable cells in bacteria, fungi, and plants to react to extracellular stimuli. A sensor histidine kinase (SK) detects such stimuli with its sensor domains and transduces the input signals to a response regulator (RR) by trans-phosphorylation. This trans-phosphorylation reaction requires the formation of a complex formed by the two interacting proteins. The complex is stabilized by transient interactions. The nature of the transient interactions makes it challenging for experimental techniques to gain structural information. X-ray crystallography requires stable crystals, which are difficult to grow and stabilize. Similarly, the mere size of these systems proves problematic for NMR. Theoretical methods can, however, complement existing data. The statistical direct coupling analysis presented in the previous chapter reveals the interacting residues at the contact interface of the SK/RR pair. This information can be combined with the structures of the individual proteins in molecular dynamical simulation to generate structural models of the complex. The general approach, referred to as MAGMA, was tested on the sporulation phosphorelay phosphotransfer complex, the Spo0B/Spo0F pair, delivering crystal resolution accuracy. The MAGMA method is described here in a step-by-step explanation. The developed parameters are transferrable to other SK/RR systems.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20946841     DOI: 10.1016/S0076-6879(10)71003-X

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  10 in total

1.  Direct-coupling analysis of residue coevolution captures native contacts across many protein families.

Authors:  Faruck Morcos; Andrea Pagnani; Bryan Lunt; Arianna Bertolino; Debora S Marks; Chris Sander; Riccardo Zecchina; José N Onuchic; Terence Hwa; Martin Weigt
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-21       Impact factor: 11.205

2.  Structural basis of histidine kinase autophosphorylation deduced by integrating genomics, molecular dynamics, and mutagenesis.

Authors:  Angel E Dago; Alexander Schug; Andrea Procaccini; James A Hoch; Martin Weigt; Hendrik Szurmant
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-05       Impact factor: 11.205

3.  Coevolutionary signals across protein lineages help capture multiple protein conformations.

Authors:  Faruck Morcos; Biman Jana; Terence Hwa; José N Onuchic
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-02       Impact factor: 11.205

4.  Evolutionary couplings of amino acid residues reveal structure and function of bacterial signaling proteins.

Authors:  Hendrik Szurmant
Journal:  Mol Microbiol       Date:  2019-07-03       Impact factor: 3.501

5.  Large-scale identification of coevolution signals across homo-oligomeric protein interfaces by direct coupling analysis.

Authors:  Guido Uguzzoni; Shalini John Lovis; Francesco Oteri; Alexander Schug; Hendrik Szurmant; Martin Weigt
Journal:  Proc Natl Acad Sci U S A       Date:  2017-03-13       Impact factor: 11.205

6.  Intramolecular arrangement of sensor and regulator overcomes relaxed specificity in hybrid two-component systems.

Authors:  Guy E Townsend; Varsha Raghavan; Igor Zwir; Eduardo A Groisman
Journal:  Proc Natl Acad Sci U S A       Date:  2012-12-19       Impact factor: 11.205

7.  Statistical analyses of protein sequence alignments identify structures and mechanisms in signal activation of sensor histidine kinases.

Authors:  Hendrik Szurmant; James A Hoch
Journal:  Mol Microbiol       Date:  2012-12-28       Impact factor: 3.501

Review 8.  Interaction fidelity in two-component signaling.

Authors:  Hendrik Szurmant; James A Hoch
Journal:  Curr Opin Microbiol       Date:  2010-02-03       Impact factor: 7.934

Review 9.  Molecular Mechanisms of Two-Component Signal Transduction.

Authors:  Christopher P Zschiedrich; Victoria Keidel; Hendrik Szurmant
Journal:  J Mol Biol       Date:  2016-08-09       Impact factor: 5.469

10.  Specificity residues determine binding affinity for two-component signal transduction systems.

Authors:  Jonathan W Willett; Nitija Tiwari; Susanne Müller; Katherine R Hummels; Jon C D Houtman; Ernesto J Fuentes; John R Kirby
Journal:  MBio       Date:  2013-11-05       Impact factor: 7.867

  10 in total

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