Literature DB >> 15165865

Identification of specific interactions that drive ligand-induced closure in five enzymes with classic domain movements.

Steven Hayward1.   

Abstract

In order to better understand ligand-induced closure in domain enzymes, open unliganded X-ray structures and closed liganded X-ray structures have been studied in five enzymes: adenylate kinase, aspartate aminotransferase, citrate synthase, liver alcohol dehydrogenase, and the catalytic subunit of cAMP-dependent protein kinase. A sequential model of ligand binding and domain closure was used to test the hypothesis that the ligand actively drives closure from an open conformation. The analysis supports the assumption that each enzyme has a dedicated binding domain to which the ligand binds first and a closing domain. In every case, a small number of residues are identified to interact with the ligand to initiate and drive domain closure. In all cases except adenylate kinase, the backbone of residues located in an interdomain-bending region (hinge site) is identified to interact with the ligand to aid in driving closure. In adenylate kinase, the side-chain of a residue located directly adjacent to a bending region drives closure. It is thought that by binding near a hinge site the ligand is able to get within interaction range of residues when the enzyme is in the open conformation. Interdomain bending regions not involved in inducing closure are involved in control, helping to determine the location of the hinge axis. Similarities have been discovered between aspartate aminotransferase and citrate synthase that only come to light in the context of their dynamical behaviour in response to binding their substrate. Similarity also exists between liver alcohol dehydrogenase and cAMP-dependent protein kinase whereby groups on NAD and ATP, respectively, mimic the backbone of a single amino acid residue in a process where a three residue segment located at the terminus of a beta-sheet, moves to form hydrogen bonds with the mimic that resemble those found in a parallel beta-sheet. This interaction helps to drive domain closure in a process that has analogy to protein folding.

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Year:  2004        PMID: 15165865     DOI: 10.1016/j.jmb.2004.04.004

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  24 in total

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2.  Roles of static and dynamic domains in stability and catalysis of adenylate kinase.

Authors:  Euiyoung Bae; George N Phillips
Journal:  Proc Natl Acad Sci U S A       Date:  2006-02-01       Impact factor: 11.205

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5.  Applying forces to elastic network models of large biomolecules using a haptic feedback device.

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8.  Optimal identification of semi-rigid domains in macromolecules from molecular dynamics simulation.

Authors:  Stefan Bernhard; Frank Noé
Journal:  PLoS One       Date:  2010-05-13       Impact factor: 3.240

9.  Molecular dynamics simulations reveal that Tyr-317 phosphorylation reduces Shc binding affinity for phosphotyrosyl residues of epidermal growth factor receptor.

Authors:  Atsushi Suenaga; Mariko Hatakeyama; Anatoly B Kiyatkin; Ravi Radhakrishnan; Makoto Taiji; Boris N Kholodenko
Journal:  Biophys J       Date:  2009-03-18       Impact factor: 4.033

10.  Database of ligand-induced domain movements in enzymes.

Authors:  Guoying Qi; Steven Hayward
Journal:  BMC Struct Biol       Date:  2009-03-06
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