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A less‐biased analysis of metalloproteins reveals novel zinc coordination geometries

Zinc metalloproteins are involved in many biological processes and play crucial biochemical roles across all domains of life. Local structure around the zinc ion, especially the coordination geometry (CG), is dictated by the protein sequence and is often directly related to the function of the prote...

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Detalles Bibliográficos
Autores principales: Yao, Sen, Flight, Robert M., Rouchka, Eric C., Moseley, Hunter N. B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4539273/
https://www.ncbi.nlm.nih.gov/pubmed/26009987
http://dx.doi.org/10.1002/prot.24834
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author Yao, Sen
Flight, Robert M.
Rouchka, Eric C.
Moseley, Hunter N. B.
author_facet Yao, Sen
Flight, Robert M.
Rouchka, Eric C.
Moseley, Hunter N. B.
author_sort Yao, Sen
collection PubMed
description Zinc metalloproteins are involved in many biological processes and play crucial biochemical roles across all domains of life. Local structure around the zinc ion, especially the coordination geometry (CG), is dictated by the protein sequence and is often directly related to the function of the protein. Current methodologies in characterizing zinc metalloproteins' CG consider only previously reported CG models based mainly on nonbiological chemical context. Exceptions to these canonical CG models are either misclassified or discarded as “outliers.” Thus, we developed a less‐biased method that directly handles potential exceptions without pre‐assuming any CG model. Our study shows that numerous exceptions could actually be further classified and that new CG models are needed to characterize them. Also, these new CG models are cross‐validated by strong correlation between independent structural and functional annotation distance metrics, which is partially lost if these new CGs models are ignored. Furthermore, these new CG models exhibit functional propensities distinct from the canonical CG models. Proteins 2015; 83:1470–1487. © 2015 The Authors. Proteins: Structure, Function, and Bioinformatics Published by Wiley Periodicals, Inc.
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spelling pubmed-45392732016-08-01 A less‐biased analysis of metalloproteins reveals novel zinc coordination geometries Yao, Sen Flight, Robert M. Rouchka, Eric C. Moseley, Hunter N. B. Proteins Articles Zinc metalloproteins are involved in many biological processes and play crucial biochemical roles across all domains of life. Local structure around the zinc ion, especially the coordination geometry (CG), is dictated by the protein sequence and is often directly related to the function of the protein. Current methodologies in characterizing zinc metalloproteins' CG consider only previously reported CG models based mainly on nonbiological chemical context. Exceptions to these canonical CG models are either misclassified or discarded as “outliers.” Thus, we developed a less‐biased method that directly handles potential exceptions without pre‐assuming any CG model. Our study shows that numerous exceptions could actually be further classified and that new CG models are needed to characterize them. Also, these new CG models are cross‐validated by strong correlation between independent structural and functional annotation distance metrics, which is partially lost if these new CGs models are ignored. Furthermore, these new CG models exhibit functional propensities distinct from the canonical CG models. Proteins 2015; 83:1470–1487. © 2015 The Authors. Proteins: Structure, Function, and Bioinformatics Published by Wiley Periodicals, Inc. John Wiley and Sons Inc. 2015-06-13 2015-08 /pmc/articles/PMC4539273/ /pubmed/26009987 http://dx.doi.org/10.1002/prot.24834 Text en © 2015 The Authors. Proteins: Structure, Function, and Bioinformatics Published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Articles
Yao, Sen
Flight, Robert M.
Rouchka, Eric C.
Moseley, Hunter N. B.
A less‐biased analysis of metalloproteins reveals novel zinc coordination geometries
title A less‐biased analysis of metalloproteins reveals novel zinc coordination geometries
title_full A less‐biased analysis of metalloproteins reveals novel zinc coordination geometries
title_fullStr A less‐biased analysis of metalloproteins reveals novel zinc coordination geometries
title_full_unstemmed A less‐biased analysis of metalloproteins reveals novel zinc coordination geometries
title_short A less‐biased analysis of metalloproteins reveals novel zinc coordination geometries
title_sort less‐biased analysis of metalloproteins reveals novel zinc coordination geometries
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4539273/
https://www.ncbi.nlm.nih.gov/pubmed/26009987
http://dx.doi.org/10.1002/prot.24834
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