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https://hdl.handle.net/10356/173974
Title: | Structome: a tool for the rapid assembly of datasets for structural phylogenetics | Authors: | Malik, Ashar J. Langer, Desiree Verma, Chandra Shekhar Poole, Anthony M. Allison, Jane R. |
Keywords: | Medicine, Health and Life Sciences | Issue Date: | 2023 | Source: | Malik, A. J., Langer, D., Verma, C. S., Poole, A. M. & Allison, J. R. (2023). Structome: a tool for the rapid assembly of datasets for structural phylogenetics. Bioinformatics Advances, 3(1), vbad134-. https://dx.doi.org/10.1093/bioadv/vbad134 | Journal: | Bioinformatics Advances | Abstract: | 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 ∼94% 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. | URI: | https://hdl.handle.net/10356/173974 | ISSN: | 2635-0041 | DOI: | 10.1093/bioadv/vbad134 | Schools: | School of Biological Sciences | Organisations: | Bioinformatics Institute, A*STAR National University of Singapore |
Rights: | © 2023 The Author(s). Published by Oxford University Press. 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. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | SBS Journal Articles |
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vbad134.pdf | 596.81 kB | Adobe PDF | ![]() View/Open |
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