Literature DB >> 10545326

Metal-ion affinity and specificity in EF-hand proteins: coordination geometry and domain plasticity in parvalbumin.

M S Cates1, M B Berry, E L Ho, Q Li, J D Potter, G N Phillips.   

Abstract

BACKGROUND: The EF-hand family is a large set of Ca(2+)-binding proteins that contain characteristic helix-loop-helix binding motifs that are highly conserved in sequence. Members of this family include parvalbumin and many prominent regulatory proteins such as calmodulin and troponin C. EF-hand proteins are involved in a variety of physiological processes including cell-cycle regulation, second messenger production, muscle contraction, microtubule organization and vision.
RESULTS: We have determined the structures of parvalbumin mutants designed to explore the role of the last coordinating residue of the Ca(2+)-binding loop. An E101D substitution has been made in the parvalbumin EF site. The substitution decreases the Ca(2+)-binding affinity 100-fold and increases the Mg(2+)-binding affinity 10-fold. Both the Ca(2+)- and Mg(2+)-bound structures have been determined, and a structural basis has been proposed for the metal-ion-binding properties.
CONCLUSIONS: The E101D mutation does not affect the Mg(2+) coordination geometry of the binding loop, but it does pull the F helix 1.1 A towards the loop. The E101D-Ca(2+) structure reveals that this mutant cannot obtain the sevenfold coordination preferred by Ca(2+), presumably because of strain limits imposed by tertiary structure. Analysis of these results relative to previously reported structural information supports a model wherein the characteristics of the last coordinating residue and the plasticity of the Ca(2+)-binding loop delimit the allowable geometries for the coordinating sphere.

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Year:  1999        PMID: 10545326     DOI: 10.1016/s0969-2126(00)80060-x

Source DB:  PubMed          Journal:  Structure        ISSN: 0969-2126            Impact factor:   5.006


  30 in total

1.  Enhancement by Mg2+ of domain specificity in Ca2+-dependent interactions of calmodulin with target sequences.

Authors:  S R Martin; L Masino; P M Bayley
Journal:  Protein Sci       Date:  2000-12       Impact factor: 6.725

Review 2.  Structural characteristics of protein binding sites for calcium and lanthanide ions.

Authors:  E Pidcock; G R Moore
Journal:  J Biol Inorg Chem       Date:  2001-06       Impact factor: 3.358

3.  Molecular mechanisms of calcium and magnesium binding to parvalbumin.

Authors:  M Susan Cates; Miguel L Teodoro; George N Phillips
Journal:  Biophys J       Date:  2002-03       Impact factor: 4.033

4.  Combining molecular dynamics and machine learning to improve protein function recognition.

Authors:  Dariya S Glazer; Randall J Radmer; Russ B Altman
Journal:  Pac Symp Biocomput       Date:  2008

5.  Calcium-induced structural rearrangements release autoinhibition in the Rap-GEF CalDAG-GEFI.

Authors:  Aaron A Cook; Wei Deng; Jinqi Ren; Renhao Li; John Sondek; Wolfgang Bergmeier
Journal:  J Biol Chem       Date:  2018-04-05       Impact factor: 5.157

6.  Binding of Gd(3+) to the neuronal signalling protein calexcitin identifies an exchangeable Ca(2+)-binding site.

Authors:  Lucas Chataigner; Jingxu Guo; Peter T Erskine; Alun R Coker; Steve P Wood; Zoltan Gombos; Jonathan B Cooper
Journal:  Acta Crystallogr F Struct Biol Commun       Date:  2016-03-16       Impact factor: 1.056

7.  Many-body effect determines the selectivity for Ca2+ and Mg2+ in proteins.

Authors:  Zhifeng Jing; Chengwen Liu; Rui Qi; Pengyu Ren
Journal:  Proc Natl Acad Sci U S A       Date:  2018-07-23       Impact factor: 11.205

8.  Prediction of calcium-binding sites by combining loop-modeling with machine learning.

Authors:  Tianyun Liu; Russ B Altman
Journal:  BMC Struct Biol       Date:  2009-12-11

9.  Improving structure-based function prediction using molecular dynamics.

Authors:  Dariya S Glazer; Randall J Radmer; Russ B Altman
Journal:  Structure       Date:  2009-07-15       Impact factor: 5.006

10.  Efficient algorithms to explore conformation spaces of flexible protein loops.

Authors:  Peggy Yao; Ankur Dhanik; Nathan Marz; Ryan Propper; Charles Kou; Guanfeng Liu; Henry van den Bedem; Jean-Claude Latombe; Inbal Halperin-Landsberg; Russ Biagio Altman
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2008 Oct-Dec       Impact factor: 3.710

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