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Prediction of Metal Ion Binding Sites of Transmembrane Proteins

The metal ion binding of transmembrane proteins (TMPs) plays a fundamental role in biological processes, pharmaceutics, and medicine, but it is hard to extract enough TMP structures in experimental techniques to discover their binding mechanism comprehensively. To predict the metal ion binding sites...

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Detalles Bibliográficos
Autores principales: Qu, Jing, Yin, Sheng S., Wang, Han
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556105/
https://www.ncbi.nlm.nih.gov/pubmed/34721655
http://dx.doi.org/10.1155/2021/2327832
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author Qu, Jing
Yin, Sheng S.
Wang, Han
author_facet Qu, Jing
Yin, Sheng S.
Wang, Han
author_sort Qu, Jing
collection PubMed
description The metal ion binding of transmembrane proteins (TMPs) plays a fundamental role in biological processes, pharmaceutics, and medicine, but it is hard to extract enough TMP structures in experimental techniques to discover their binding mechanism comprehensively. To predict the metal ion binding sites for TMPs on a large scale, we present a simple and effective two-stage prediction method TMP-MIBS, to identify the corresponding binding residues using TMP sequences. At present, there is no specific research on the metal ion binding prediction of TMPs. Thereby, we compared our model with the published tools which do not distinguish TMPs from water-soluble proteins. The results in the independent verification dataset show that TMP-MIBS has superior performance. This paper explores the interaction mechanism between TMPs and metal ions, which is helpful to understand the structure and function of TMPs and is of great significance to further construct transport mechanisms and identify potential drug targets.
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spelling pubmed-85561052021-10-30 Prediction of Metal Ion Binding Sites of Transmembrane Proteins Qu, Jing Yin, Sheng S. Wang, Han Comput Math Methods Med Research Article The metal ion binding of transmembrane proteins (TMPs) plays a fundamental role in biological processes, pharmaceutics, and medicine, but it is hard to extract enough TMP structures in experimental techniques to discover their binding mechanism comprehensively. To predict the metal ion binding sites for TMPs on a large scale, we present a simple and effective two-stage prediction method TMP-MIBS, to identify the corresponding binding residues using TMP sequences. At present, there is no specific research on the metal ion binding prediction of TMPs. Thereby, we compared our model with the published tools which do not distinguish TMPs from water-soluble proteins. The results in the independent verification dataset show that TMP-MIBS has superior performance. This paper explores the interaction mechanism between TMPs and metal ions, which is helpful to understand the structure and function of TMPs and is of great significance to further construct transport mechanisms and identify potential drug targets. Hindawi 2021-10-22 /pmc/articles/PMC8556105/ /pubmed/34721655 http://dx.doi.org/10.1155/2021/2327832 Text en Copyright © 2021 Jing Qu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Qu, Jing
Yin, Sheng S.
Wang, Han
Prediction of Metal Ion Binding Sites of Transmembrane Proteins
title Prediction of Metal Ion Binding Sites of Transmembrane Proteins
title_full Prediction of Metal Ion Binding Sites of Transmembrane Proteins
title_fullStr Prediction of Metal Ion Binding Sites of Transmembrane Proteins
title_full_unstemmed Prediction of Metal Ion Binding Sites of Transmembrane Proteins
title_short Prediction of Metal Ion Binding Sites of Transmembrane Proteins
title_sort prediction of metal ion binding sites of transmembrane proteins
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556105/
https://www.ncbi.nlm.nih.gov/pubmed/34721655
http://dx.doi.org/10.1155/2021/2327832
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