Literature DB >> 10090734

Cooperative fluctuations and subunit communication in tryptophan synthase.

I Bahar1, R L Jernigan.   

Abstract

Tryptophan synthase (TRPS), with linearly arrayed subunits alphabetabetaalpha, catalyzes the last two reactions in the biosynthesis of L-tryptophan. The two reactions take place in the respective alpha- and beta-subunits of the enzyme, and the intermediate product, indole, is transferred from the alpha- to the beta-site through a 25 A long hydrophobic tunnel. The occurrence of a unique ligand-mediated long-range cooperativity for substrate channeling, and a quest to understand the mechanism of allosteric control and coordination in metabolic cycles, have motivated many experimental studies on the structure and catalytic activity of the TRPS alpha2beta2 complex and its mutants. The dynamics of these complexes are analyzed here using a simple but rigorous theoretical approach, the Gaussian network model. Both wild-type and mutant structures, in the unliganded and various liganded forms, are considered. The substrate binding site in the beta-subunit is found to be closely coupled to a group of hinge residues (beta77-beta89 and beta376-beta379) near the beta-beta interface. These residues simultaneously control the anticorrelated motion of the two beta-subunits, and the opening or closing of the hydrophobic tunnel. The latter process is achieved by the large amplitude fluctuations of the so-called COMM domain in the same subunit. Intersubunit communications are strengthened in the presence of external aldimines bound to the beta-site. The motions of the COMM core residues are coordinated with those of the alpha-beta hinge residues beta174-beta179 on the interfacial helix betaH6 at the entrance of the hydrophobic tunnel. And the motions of betaH6 are coupled, via helix betaH1 and alphaL6, to those of the loop alphaL2 that includes the alpha-subunit catalytically active residue Asp60. Overall, our analysis sheds light on the molecular machinery underlying subunit communication, and identifies the residues playing a key role in the cooperative transmission of conformational motions across the two reaction sites.

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Year:  1999        PMID: 10090734     DOI: 10.1021/bi982697v

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  27 in total

1.  Anisotropy of fluctuation dynamics of proteins with an elastic network model.

Authors:  A R Atilgan; S R Durell; R L Jernigan; M C Demirel; O Keskin; I Bahar
Journal:  Biophys J       Date:  2001-01       Impact factor: 4.033

2.  Enzymatic conformational fluctuations along the reaction coordinate of cytidine deaminase.

Authors:  Ryan C Noonan; Charles W Carter CW; Carey K Bagdassarian
Journal:  Protein Sci       Date:  2002-06       Impact factor: 6.725

3.  Escherichia coli adenylate kinase dynamics: comparison of elastic network model modes with mode-coupling (15)N-NMR relaxation data.

Authors:  N Alpay Temiz; Eva Meirovitch; Ivet Bahar
Journal:  Proteins       Date:  2004-11-15

4.  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

5.  Local packing modulates diversity of iron pathways and cooperative behavior in eukaryotic and prokaryotic ferritins.

Authors:  Anatoly M Ruvinsky; Ilya A Vakser; Mario Rivera
Journal:  J Chem Phys       Date:  2014-03-21       Impact factor: 3.488

6.  Exploring the common dynamics of homologous proteins. Application to the globin family.

Authors:  Sandra Maguid; Sebastian Fernandez-Alberti; Leticia Ferrelli; Julian Echave
Journal:  Biophys J       Date:  2005-03-04       Impact factor: 4.033

7.  iGNM: a database of protein functional motions based on Gaussian Network Model.

Authors:  Lee-Wei Yang; Xiong Liu; Christopher J Jursa; Mark Holliman; A J Rader; Hassan A Karimi; Ivet Bahar
Journal:  Bioinformatics       Date:  2005-04-28       Impact factor: 6.937

8.  Comparison of tRNA motions in the free and ribosomal bound structures.

Authors:  Yongmei Wang; Robert L Jernigan
Journal:  Biophys J       Date:  2005-08-19       Impact factor: 4.033

Review 9.  Multidimensional tunneling, recrossing, and the transmission coefficient for enzymatic reactions.

Authors:  Jingzhi Pu; Jiali Gao; Donald G Truhlar
Journal:  Chem Rev       Date:  2006-08       Impact factor: 60.622

10.  Investigating the local flexibility of functional residues in hemoproteins.

Authors:  Sophie Sacquin-Mora; Richard Lavery
Journal:  Biophys J       Date:  2006-01-20       Impact factor: 4.033

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