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Structome: a tool for the rapid assembly of datasets for structural phylogenetics
SUMMARY: Protein structures carry signal of common ancestry and can therefore aid in reconstructing their evolutionary histories. To expedite the structure-informed inference process, a web server, Structome, has been developed that allows users to rapidly identify protein structures similar to a qu...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10692761/ https://www.ncbi.nlm.nih.gov/pubmed/38046099 http://dx.doi.org/10.1093/bioadv/vbad134 |
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author | Malik, Ashar J Langer, Desiree Verma, Chandra S Poole, Anthony M Allison, Jane R |
author_facet | Malik, Ashar J Langer, Desiree Verma, Chandra S Poole, Anthony M Allison, Jane R |
author_sort | Malik, Ashar J |
collection | PubMed |
description | SUMMARY: Protein structures carry signal of common ancestry and can therefore aid in reconstructing their evolutionary histories. To expedite the structure-informed inference process, a web server, Structome, has been developed that allows users to rapidly identify protein structures similar to a query protein and to assemble datasets useful for structure-based phylogenetics. Structome was created by clustering [Formula: see text] of the structures in RCSB PDB using 90% sequence identity and representing each cluster by a centroid structure. Structure similarity between centroid proteins was calculated, and annotations from PDB, SCOP, and CATH were integrated. To illustrate utility, an H3 histone was used as a query, and results show that the protein structures returned by Structome span both sequence and structural diversity of the histone fold. Additionally, the pre-computed nexus-formatted distance matrix, provided by Structome, enables analysis of evolutionary relationships between proteins not identifiable using searches based on sequence similarity alone. Our results demonstrate that, beginning with a single structure, Structome can be used to rapidly generate a dataset of structural neighbours and allows deep evolutionary history of proteins to be studied. AVAILABILITY AND IMPLEMENTATION: Structome is available at: https://structome.bii.a-star.edu.sg. |
format | Online Article Text |
id | pubmed-10692761 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106927612023-12-03 Structome: a tool for the rapid assembly of datasets for structural phylogenetics Malik, Ashar J Langer, Desiree Verma, Chandra S Poole, Anthony M Allison, Jane R Bioinform Adv Original Article SUMMARY: Protein structures carry signal of common ancestry and can therefore aid in reconstructing their evolutionary histories. To expedite the structure-informed inference process, a web server, Structome, has been developed that allows users to rapidly identify protein structures similar to a query protein and to assemble datasets useful for structure-based phylogenetics. Structome was created by clustering [Formula: see text] of the structures in RCSB PDB using 90% sequence identity and representing each cluster by a centroid structure. Structure similarity between centroid proteins was calculated, and annotations from PDB, SCOP, and CATH were integrated. To illustrate utility, an H3 histone was used as a query, and results show that the protein structures returned by Structome span both sequence and structural diversity of the histone fold. Additionally, the pre-computed nexus-formatted distance matrix, provided by Structome, enables analysis of evolutionary relationships between proteins not identifiable using searches based on sequence similarity alone. Our results demonstrate that, beginning with a single structure, Structome can be used to rapidly generate a dataset of structural neighbours and allows deep evolutionary history of proteins to be studied. AVAILABILITY AND IMPLEMENTATION: Structome is available at: https://structome.bii.a-star.edu.sg. Oxford University Press 2023-10-03 /pmc/articles/PMC10692761/ /pubmed/38046099 http://dx.doi.org/10.1093/bioadv/vbad134 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Malik, Ashar J Langer, Desiree Verma, Chandra S Poole, Anthony M Allison, Jane R Structome: a tool for the rapid assembly of datasets for structural phylogenetics |
title | Structome: a tool for the rapid assembly of datasets for structural phylogenetics |
title_full | Structome: a tool for the rapid assembly of datasets for structural phylogenetics |
title_fullStr | Structome: a tool for the rapid assembly of datasets for structural phylogenetics |
title_full_unstemmed | Structome: a tool for the rapid assembly of datasets for structural phylogenetics |
title_short | Structome: a tool for the rapid assembly of datasets for structural phylogenetics |
title_sort | structome: a tool for the rapid assembly of datasets for structural phylogenetics |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10692761/ https://www.ncbi.nlm.nih.gov/pubmed/38046099 http://dx.doi.org/10.1093/bioadv/vbad134 |
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