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Cited by 232

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Metal Binding Affinity and Selectivity in Metalloproteins: Insights from Computational Studies

Dudev, Todor, Lim, Carmay·2008·Annual Review of Biophysics

Abstract

This review highlights insights gained from computational studies on protein-metal recognition. We systematically dissect the various factors governing metal binding affinity and selectivity in proteins starting from (a) the intrinsic properties of the metal and neighboring metal cations (if present), to (b) the primary coordination sphere, (c) the second coordination shell, (d) the protein matrix, (e) the bulk solvent, and (f) competing non-protein ligands from the surrounding biological environment. The results herein reveal the fundamental principles and the molecular bases underlying protein-metal recognition, which serve as a guide to engineer novel metalloproteins with programmed properties.

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Crossref · 10.1146/annurev.biophys.37.032807.125811

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Metadata

Authors
Dudev, T., & Lim, C.
Venue
Annual Review of Biophysics
Published
2008-06-01
Volume
37
Issue
1
Pages
97-116
ISSN
  • 1936-122X (ISSN-L)
  • 1936-1238
OpenAlex
W2101337181
Cited by
232
References
1
FWCI
0.72
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Metal Binding Affinity and Selectivity in Metalloproteins: Insights from Computational Studies. https://app.cochat.ai/papers/10.1146/annurev.biophys.37.032807.125811
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Dudev, T., & Lim, C. (2008). Metal Binding Affinity and Selectivity in Metalloproteins: Insights from Computational Studies. Annual Review of Biophysics. https://doi.org/10.1146/annurev.biophys.37.032807.125811

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.