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LibME—automatic extraction of 3D ligand‐binding motifs for mechanistic analysis of protein–ligand recognition

Identifying conserved binding motifs is an efficient way to study protein–ligand recognition. Most 3D binding motifs only contain information from the protein side, and so motifs that combine information from both protein and ligand sides are desired. Here, we propose an algorithm called LibME (Liga...

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Detalles Bibliográficos
Autores principales: He, Wei, Liang, Zhi, Teng, MaiKun, Niu, LiWen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5324770/
https://www.ncbi.nlm.nih.gov/pubmed/28255540
http://dx.doi.org/10.1002/2211-5463.12150
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author He, Wei
Liang, Zhi
Teng, MaiKun
Niu, LiWen
author_facet He, Wei
Liang, Zhi
Teng, MaiKun
Niu, LiWen
author_sort He, Wei
collection PubMed
description Identifying conserved binding motifs is an efficient way to study protein–ligand recognition. Most 3D binding motifs only contain information from the protein side, and so motifs that combine information from both protein and ligand sides are desired. Here, we propose an algorithm called LibME (Ligand‐binding Motif Extractor), which automatically extracts 3D binding motifs composed of the target ligand and surrounding conserved residues. We show that the motifs extracted by LibME for ATP and its analogs are highly similar to well‐known motifs reported by previous studies. The superiority of our method to handle flexible ligands was also demonstrated using isocitric acid as an example. Finally, we show that these motifs, together with their visual exhibition, permit better investigating and understanding of protein–ligand recognition process.
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spelling pubmed-53247702017-03-02 LibME—automatic extraction of 3D ligand‐binding motifs for mechanistic analysis of protein–ligand recognition He, Wei Liang, Zhi Teng, MaiKun Niu, LiWen FEBS Open Bio Method Identifying conserved binding motifs is an efficient way to study protein–ligand recognition. Most 3D binding motifs only contain information from the protein side, and so motifs that combine information from both protein and ligand sides are desired. Here, we propose an algorithm called LibME (Ligand‐binding Motif Extractor), which automatically extracts 3D binding motifs composed of the target ligand and surrounding conserved residues. We show that the motifs extracted by LibME for ATP and its analogs are highly similar to well‐known motifs reported by previous studies. The superiority of our method to handle flexible ligands was also demonstrated using isocitric acid as an example. Finally, we show that these motifs, together with their visual exhibition, permit better investigating and understanding of protein–ligand recognition process. John Wiley and Sons Inc. 2016-11-30 /pmc/articles/PMC5324770/ /pubmed/28255540 http://dx.doi.org/10.1002/2211-5463.12150 Text en © 2016 The Authors. Published by FEBS Press and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Method
He, Wei
Liang, Zhi
Teng, MaiKun
Niu, LiWen
LibME—automatic extraction of 3D ligand‐binding motifs for mechanistic analysis of protein–ligand recognition
title LibME—automatic extraction of 3D ligand‐binding motifs for mechanistic analysis of protein–ligand recognition
title_full LibME—automatic extraction of 3D ligand‐binding motifs for mechanistic analysis of protein–ligand recognition
title_fullStr LibME—automatic extraction of 3D ligand‐binding motifs for mechanistic analysis of protein–ligand recognition
title_full_unstemmed LibME—automatic extraction of 3D ligand‐binding motifs for mechanistic analysis of protein–ligand recognition
title_short LibME—automatic extraction of 3D ligand‐binding motifs for mechanistic analysis of protein–ligand recognition
title_sort libme—automatic extraction of 3d ligand‐binding motifs for mechanistic analysis of protein–ligand recognition
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5324770/
https://www.ncbi.nlm.nih.gov/pubmed/28255540
http://dx.doi.org/10.1002/2211-5463.12150
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