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Classification of human Herpesviridae proteins using Domain-architecture Aware Inference of Orthologs (DAIO)
We developed a computational approach called Domain-architecture Aware Inference of Orthologs (DAIO) for the analysis of protein orthology by combining phylogenetic and protein domain-architecture information. Using DAIO, we performed a systematic study of the proteomes of all human Herpesviridae sp...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6502252/ https://www.ncbi.nlm.nih.gov/pubmed/30660046 http://dx.doi.org/10.1016/j.virol.2019.01.005 |
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author | Zmasek, Christian M. Knipe, David M. Pellett, Philip E. Scheuermann, Richard H. |
author_facet | Zmasek, Christian M. Knipe, David M. Pellett, Philip E. Scheuermann, Richard H. |
author_sort | Zmasek, Christian M. |
collection | PubMed |
description | We developed a computational approach called Domain-architecture Aware Inference of Orthologs (DAIO) for the analysis of protein orthology by combining phylogenetic and protein domain-architecture information. Using DAIO, we performed a systematic study of the proteomes of all human Herpesviridae species to define Strict Ortholog Groups (SOGs). In addition to assessing the taxonomic distribution for each protein based on sequence similarity, we performed a protein domain-architecture analysis for every protein family and computationally inferred gene duplication events. While many herpesvirus proteins have evolved without any detectable gene duplications or domain rearrangements, numerous herpesvirus protein families do exhibit complex evolutionary histories. Some proteins acquired additional domains (e.g., DNA polymerase), whereas others show a combination of domain acquisition and gene duplication (e.g., betaherpesvirus US22 family), with possible functional implications. This novel classification system of SOGs for human Herpesviridae proteins is available through the Virus Pathogen Resource (ViPR, www.viprbrc.org). |
format | Online Article Text |
id | pubmed-6502252 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | The Authors. Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65022522020-03-01 Classification of human Herpesviridae proteins using Domain-architecture Aware Inference of Orthologs (DAIO) Zmasek, Christian M. Knipe, David M. Pellett, Philip E. Scheuermann, Richard H. Virology Article We developed a computational approach called Domain-architecture Aware Inference of Orthologs (DAIO) for the analysis of protein orthology by combining phylogenetic and protein domain-architecture information. Using DAIO, we performed a systematic study of the proteomes of all human Herpesviridae species to define Strict Ortholog Groups (SOGs). In addition to assessing the taxonomic distribution for each protein based on sequence similarity, we performed a protein domain-architecture analysis for every protein family and computationally inferred gene duplication events. While many herpesvirus proteins have evolved without any detectable gene duplications or domain rearrangements, numerous herpesvirus protein families do exhibit complex evolutionary histories. Some proteins acquired additional domains (e.g., DNA polymerase), whereas others show a combination of domain acquisition and gene duplication (e.g., betaherpesvirus US22 family), with possible functional implications. This novel classification system of SOGs for human Herpesviridae proteins is available through the Virus Pathogen Resource (ViPR, www.viprbrc.org). The Authors. Published by Elsevier Inc. 2019-03 2019-01-06 /pmc/articles/PMC6502252/ /pubmed/30660046 http://dx.doi.org/10.1016/j.virol.2019.01.005 Text en © 2019 The Authors. Published by Elsevier Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Zmasek, Christian M. Knipe, David M. Pellett, Philip E. Scheuermann, Richard H. Classification of human Herpesviridae proteins using Domain-architecture Aware Inference of Orthologs (DAIO) |
title | Classification of human Herpesviridae proteins using Domain-architecture Aware Inference of Orthologs (DAIO) |
title_full | Classification of human Herpesviridae proteins using Domain-architecture Aware Inference of Orthologs (DAIO) |
title_fullStr | Classification of human Herpesviridae proteins using Domain-architecture Aware Inference of Orthologs (DAIO) |
title_full_unstemmed | Classification of human Herpesviridae proteins using Domain-architecture Aware Inference of Orthologs (DAIO) |
title_short | Classification of human Herpesviridae proteins using Domain-architecture Aware Inference of Orthologs (DAIO) |
title_sort | classification of human herpesviridae proteins using domain-architecture aware inference of orthologs (daio) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6502252/ https://www.ncbi.nlm.nih.gov/pubmed/30660046 http://dx.doi.org/10.1016/j.virol.2019.01.005 |
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