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LAHMA: structure analysis through local annotation of homology-matched amino acids
Comparison of homologous structure models is a key step in analyzing protein structure. With a wealth of homologous structures, comparison becomes a tedious process, and often only a small (user-biased) selection of data is used. A multitude of structural superposition algorithms are then typically...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787103/ https://www.ncbi.nlm.nih.gov/pubmed/33404523 http://dx.doi.org/10.1107/S2059798320014473 |
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author | van Beusekom, Bart Damaskos, George Hekkelman, Maarten L. Salgado-Polo, Fernando Hiruma, Yoshitaka Perrakis, Anastassis Joosten, Robbie P. |
author_facet | van Beusekom, Bart Damaskos, George Hekkelman, Maarten L. Salgado-Polo, Fernando Hiruma, Yoshitaka Perrakis, Anastassis Joosten, Robbie P. |
author_sort | van Beusekom, Bart |
collection | PubMed |
description | Comparison of homologous structure models is a key step in analyzing protein structure. With a wealth of homologous structures, comparison becomes a tedious process, and often only a small (user-biased) selection of data is used. A multitude of structural superposition algorithms are then typically used to visualize the structures together in 3D and to compare them. Here, the Local Annotation of Homology-Matched Amino acids (LAHMA) website (https://lahma.pdb-redo.eu) is presented, which compares any structure model with all of its close homologs from the PDB-REDO databank. LAHMA displays structural features in sequence space, allowing users to uncover differences between homologous structure models that can be analyzed for their relevance to chemistry or biology. LAHMA visualizes numerous structural features, also allowing one-click comparison of structure-quality plots (for example the Ramachandran plot) and ‘in-browser’ structural visualization of 3D models. |
format | Online Article Text |
id | pubmed-7787103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-77871032021-01-29 LAHMA: structure analysis through local annotation of homology-matched amino acids van Beusekom, Bart Damaskos, George Hekkelman, Maarten L. Salgado-Polo, Fernando Hiruma, Yoshitaka Perrakis, Anastassis Joosten, Robbie P. Acta Crystallogr D Struct Biol Ccp4 Comparison of homologous structure models is a key step in analyzing protein structure. With a wealth of homologous structures, comparison becomes a tedious process, and often only a small (user-biased) selection of data is used. A multitude of structural superposition algorithms are then typically used to visualize the structures together in 3D and to compare them. Here, the Local Annotation of Homology-Matched Amino acids (LAHMA) website (https://lahma.pdb-redo.eu) is presented, which compares any structure model with all of its close homologs from the PDB-REDO databank. LAHMA displays structural features in sequence space, allowing users to uncover differences between homologous structure models that can be analyzed for their relevance to chemistry or biology. LAHMA visualizes numerous structural features, also allowing one-click comparison of structure-quality plots (for example the Ramachandran plot) and ‘in-browser’ structural visualization of 3D models. International Union of Crystallography 2021-01-01 /pmc/articles/PMC7787103/ /pubmed/33404523 http://dx.doi.org/10.1107/S2059798320014473 Text en © van Beusekom et al. 2021 http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Ccp4 van Beusekom, Bart Damaskos, George Hekkelman, Maarten L. Salgado-Polo, Fernando Hiruma, Yoshitaka Perrakis, Anastassis Joosten, Robbie P. LAHMA: structure analysis through local annotation of homology-matched amino acids |
title |
LAHMA: structure analysis through local annotation of homology-matched amino acids |
title_full |
LAHMA: structure analysis through local annotation of homology-matched amino acids |
title_fullStr |
LAHMA: structure analysis through local annotation of homology-matched amino acids |
title_full_unstemmed |
LAHMA: structure analysis through local annotation of homology-matched amino acids |
title_short |
LAHMA: structure analysis through local annotation of homology-matched amino acids |
title_sort | lahma: structure analysis through local annotation of homology-matched amino acids |
topic | Ccp4 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787103/ https://www.ncbi.nlm.nih.gov/pubmed/33404523 http://dx.doi.org/10.1107/S2059798320014473 |
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