Literature DB >> 7982928

Probing protein-protein interactions. The ribose-binding protein in bacterial transport and chemotaxis.

A J Björkman1, R A Binnie, H Zhang, L B Cole, M A Hermodson, S L Mowbray.   

Abstract

A number of mutations at Gly134 of the periplasmic ribose-binding protein of Escherichia coli were examined by a combined biochemical and structural approach. Different mutations gave rise to different patterns of effects on the chemotaxis and transport functions. The smallest residue (alanine) had the least effect on transport, whereas large hydrophobic residues had the smallest effect on chemotaxis. Comparison of the x-ray crystal structure of the G134R mutant protein (2.5-A resolution) to that of the wild type (1.6-A resolution) showed that the basic structure of the protein was unaltered. The loss of chemotaxis and transport functions in this and similar mutant proteins must therefore be caused by relatively simple surface effects, which include a change in local main chain conformation. The loss of chemotaxis and transport functions resulting from the introduction of an alanine residue at position 134 was suppressed by an additional isoleucine to threonine mutation at residue 132. An x-ray structure of the I132T/G134A double mutant protein (2.2-A resolution) showed that the changes in local structure were accompanied by a diffuse pattern of structural changes in the surrounding region, implying that the suppression derives from a combination of sources.

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Year:  1994        PMID: 7982928

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  37 in total

1.  Evaluation of the relative stability of liganded versus ligand-free protein conformations using Simplicial Neighborhood Analysis of Protein Packing (SNAPP) method.

Authors:  Douglas B Sherman; Shuxing Zhang; J Bruce Pitner; Alexander Tropsha
Journal:  Proteins       Date:  2004-09-01

2.  Probing protein mechanics: residue-level properties and their use in defining domains.

Authors:  Isabelle Navizet; Fabien Cailliez; Richard Lavery
Journal:  Biophys J       Date:  2004-09       Impact factor: 4.033

3.  Optimized torsion-angle normal modes reproduce conformational changes more accurately than cartesian modes.

Authors:  Jenelle K Bray; Dahlia R Weiss; Michael Levitt
Journal:  Biophys J       Date:  2011-12-20       Impact factor: 4.033

4.  Active-site models for complexes of quinolinate synthase with substrates and intermediates.

Authors:  Erika V Soriano; Yang Zhang; Keri L Colabroy; Jennie M Sanders; Ethan C Settembre; Pieter C Dorrestein; Tadhg P Begley; Steven E Ealick
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2013-08-15

5.  Functional domains of the Bacillus subtilis transcription factor AraR and identification of amino acids important for nucleoprotein complex assembly and effector binding.

Authors:  Irina Saraiva Franco; Luís Jaime Mota; Cláudio Manuel Soares; Isabel de Sá-Nogueira
Journal:  J Bacteriol       Date:  2006-04       Impact factor: 3.490

6.  A method for finding candidate conformations for molecular replacement using relative rotation between domains of a known structure.

Authors:  Jay I Jeong; Eaton E Lattman; Gregory S Chirikjian
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2006-03-18

7.  Structure-based design of robust glucose biosensors using a Thermotoga maritima periplasmic glucose-binding protein.

Authors:  Yaji Tian; Matthew J Cuneo; Anita Changela; Birte Höcker; Lorena S Beese; Homme W Hellinga
Journal:  Protein Sci       Date:  2007-08-31       Impact factor: 6.725

8.  Combining efficient conformational sampling with a deformable elastic network model facilitates structure refinement at low resolution.

Authors:  Gunnar F Schröder; Axel T Brunger; Michael Levitt
Journal:  Structure       Date:  2007-12       Impact factor: 5.006

9.  Environmental pH sensing: resolving the VirA/VirG two-component system inputs for Agrobacterium pathogenesis.

Authors:  Rong Gao; David G Lynn
Journal:  J Bacteriol       Date:  2005-03       Impact factor: 3.490

10.  Can morphing methods predict intermediate structures?

Authors:  Dahlia R Weiss; Michael Levitt
Journal:  J Mol Biol       Date:  2008-10-30       Impact factor: 5.469

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