Literature DB >> 2377604

Where metal ions bind in proteins.

M M Yamashita1, L Wesson, G Eisenman, D Eisenberg.   

Abstract

The environments of metal ions (Li+, Na+, K+, Ag+, Cs+, Mg2+, Ca2+, Mn2+, Cu2+, Zn2+) in proteins and other metal-host molecules have been examined. Regardless of the metal and its precise pattern of ligation to the protein, there is a common qualitative feature to the binding site: the metal is ligated by a shell of hydrophilic atomic groups (containing oxygen, nitrogen, or sulfur atoms) and this hydrophilic shell is embedded within a larger shell of hydrophobic atomic groups (containing carbon atoms). That is, metals bind at centers of high hydrophobicity contrast. This qualitative observation can be described analytically by the hydrophobicity contrast function, C, evaluated from the structure. This function is large and positive for a sphere of hydrophilic atomic groups (characterized by atomic solvation parameters, delta sigma, having values less than 0) at the center of a larger sphere of hydrophobic atomic groups (characterized by delta sigma greater than 0). In the 23 metal-binding molecules we have examined, the maximum values of the contrast function lie near to observed metal binding sites. This suggests that the hydrophobicity contrast function may be useful for locating, characterizing, and designing metal binding sites in proteins.

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Year:  1990        PMID: 2377604      PMCID: PMC54384          DOI: 10.1073/pnas.87.15.5648

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  23 in total

1.  Refinement of the structure of carp muscle calcium-binding parvalbumin by model building and difference Fourier analysis.

Authors:  P C Moews; R H Kretsinger
Journal:  J Mol Biol       Date:  1975-01-15       Impact factor: 5.469

Review 2.  Some aspects of the structure of staphylococcal nuclease. I. Crystallographic studies.

Authors:  F A Cotton; C J Bier; V W Day; E E Hazen; S Larsen
Journal:  Cold Spring Harb Symp Quant Biol       Date:  1972

Review 3.  Calculations of electrostatic interactions in biological systems and in solutions.

Authors:  A Warshel; S T Russell
Journal:  Q Rev Biophys       Date:  1984-08       Impact factor: 5.318

4.  The Protein Data Bank: a computer-based archival file for macromolecular structures.

Authors:  F C Bernstein; T F Koetzle; G J Williams; E F Meyer; M D Brice; J R Rodgers; O Kennard; T Shimanouchi; M Tasumi
Journal:  Arch Biochem Biophys       Date:  1978-01-30       Impact factor: 4.013

5.  The structure of manganese superoxide dismutase from Thermus thermophilus HB8 at 2.4-A resolution.

Authors:  W C Stallings; K A Pattridge; R K Strong; M L Ludwig
Journal:  J Biol Chem       Date:  1985-12-25       Impact factor: 5.157

6.  Modeling coordination sites in metallobiomolecules.

Authors:  J A Ibers; R H Holm
Journal:  Science       Date:  1980-07-11       Impact factor: 47.728

7.  Structure of thermolysin refined at 1.6 A resolution.

Authors:  M A Holmes; B W Matthews
Journal:  J Mol Biol       Date:  1982-10-05       Impact factor: 5.469

8.  Determination and analysis of the 2 A-structure of copper, zinc superoxide dismutase.

Authors:  J A Tainer; E D Getzoff; K M Beem; J S Richardson; D C Richardson
Journal:  J Mol Biol       Date:  1982-09-15       Impact factor: 5.469

9.  Refined crystal structure of carboxypeptidase A at 1.54 A resolution.

Authors:  D C Rees; M Lewis; W N Lipscomb
Journal:  J Mol Biol       Date:  1983-08-05       Impact factor: 5.469

10.  Voiding dysfunction in patients with human T-lymphotropic virus type-1-associated myelopathy (HAM).

Authors:  S Komine; K Yoshida; H Yamashita; Z Masaki
Journal:  Paraplegia       Date:  1989-06
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  90 in total

1.  Synthetic receptors as models for alkali metal cation-pi binding sites in proteins.

Authors:  S L De Wall; E S Meadows; L J Barbour; G W Gokel
Journal:  Proc Natl Acad Sci U S A       Date:  2000-06-06       Impact factor: 11.205

2.  A novel modulatory binding site for zinc on the GABAA receptor complex in cultured rat neurones.

Authors:  T G Smart
Journal:  J Physiol       Date:  1992-02       Impact factor: 5.182

3.  Predicting nonspecific ion binding using DelPhi.

Authors:  Marharyta Petukh; Maxim Zhenirovskyy; Chuan Li; Lin Li; Lin Wang; Emil Alexov
Journal:  Biophys J       Date:  2012-06-19       Impact factor: 4.033

4.  Exploring the ion selectivity properties of a large number of simplified binding site models.

Authors:  Benoît Roux
Journal:  Biophys J       Date:  2010-06-16       Impact factor: 4.033

5.  Two mechanisms of ion selectivity in protein binding sites.

Authors:  Haibo Yu; Sergei Yu Noskov; Benoît Roux
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-05       Impact factor: 11.205

6.  G-LoSA: An efficient computational tool for local structure-centric biological studies and drug design.

Authors:  Hui Sun Lee; Wonpil Im
Journal:  Protein Sci       Date:  2016-03-06       Impact factor: 6.725

7.  Cloning and molecular analysis of two different ILV5 genes from a brewing strain of Saccharomyces cerevisiae.

Authors:  Q Xie; A Jiménez
Journal:  Curr Genet       Date:  1994 Nov-Dec       Impact factor: 3.886

8.  Predicting Ca(2+)-binding sites in proteins.

Authors:  M Nayal; E Di Cera
Journal:  Proc Natl Acad Sci U S A       Date:  1994-01-18       Impact factor: 11.205

9.  On the importance of atomic fluctuations, protein flexibility, and solvent in ion permeation.

Authors:  Toby W Allen; O S Andersen; Benoit Roux
Journal:  J Gen Physiol       Date:  2004-12       Impact factor: 4.086

10.  Scorpion toxins as natural scaffolds for protein engineering.

Authors:  C Vita; C Roumestand; F Toma; A Ménez
Journal:  Proc Natl Acad Sci U S A       Date:  1995-07-03       Impact factor: 11.205

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