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PrePhyloPro: phylogenetic profile-based prediction of whole proteome linkages
Direct and indirect functional links between proteins as well as their interactions as part of larger protein complexes or common signaling pathways may be predicted by analyzing the correlation of their evolutionary patterns. Based on phylogenetic profiling, here we present a highly scalable and ti...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5578374/ https://www.ncbi.nlm.nih.gov/pubmed/28875072 http://dx.doi.org/10.7717/peerj.3712 |
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author | Niu, Yulong Liu, Chengcheng Moghimyfiroozabad, Shayan Yang, Yi Alavian, Kambiz N. |
author_facet | Niu, Yulong Liu, Chengcheng Moghimyfiroozabad, Shayan Yang, Yi Alavian, Kambiz N. |
author_sort | Niu, Yulong |
collection | PubMed |
description | Direct and indirect functional links between proteins as well as their interactions as part of larger protein complexes or common signaling pathways may be predicted by analyzing the correlation of their evolutionary patterns. Based on phylogenetic profiling, here we present a highly scalable and time-efficient computational framework for predicting linkages within the whole human proteome. We have validated this method through analysis of 3,697 human pathways and molecular complexes and a comparison of our results with the prediction outcomes of previously published co-occurrency model-based and normalization methods. Here we also introduce PrePhyloPro, a web-based software that uses our method for accurately predicting proteome-wide linkages. We present data on interactions of human mitochondrial proteins, verifying the performance of this software. PrePhyloPro is freely available at http://prephylopro.org/phyloprofile/. |
format | Online Article Text |
id | pubmed-5578374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-55783742017-09-05 PrePhyloPro: phylogenetic profile-based prediction of whole proteome linkages Niu, Yulong Liu, Chengcheng Moghimyfiroozabad, Shayan Yang, Yi Alavian, Kambiz N. PeerJ Bioinformatics Direct and indirect functional links between proteins as well as their interactions as part of larger protein complexes or common signaling pathways may be predicted by analyzing the correlation of their evolutionary patterns. Based on phylogenetic profiling, here we present a highly scalable and time-efficient computational framework for predicting linkages within the whole human proteome. We have validated this method through analysis of 3,697 human pathways and molecular complexes and a comparison of our results with the prediction outcomes of previously published co-occurrency model-based and normalization methods. Here we also introduce PrePhyloPro, a web-based software that uses our method for accurately predicting proteome-wide linkages. We present data on interactions of human mitochondrial proteins, verifying the performance of this software. PrePhyloPro is freely available at http://prephylopro.org/phyloprofile/. PeerJ Inc. 2017-08-28 /pmc/articles/PMC5578374/ /pubmed/28875072 http://dx.doi.org/10.7717/peerj.3712 Text en ©2017 Niu et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Niu, Yulong Liu, Chengcheng Moghimyfiroozabad, Shayan Yang, Yi Alavian, Kambiz N. PrePhyloPro: phylogenetic profile-based prediction of whole proteome linkages |
title | PrePhyloPro: phylogenetic profile-based prediction of whole proteome linkages |
title_full | PrePhyloPro: phylogenetic profile-based prediction of whole proteome linkages |
title_fullStr | PrePhyloPro: phylogenetic profile-based prediction of whole proteome linkages |
title_full_unstemmed | PrePhyloPro: phylogenetic profile-based prediction of whole proteome linkages |
title_short | PrePhyloPro: phylogenetic profile-based prediction of whole proteome linkages |
title_sort | prephylopro: phylogenetic profile-based prediction of whole proteome linkages |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5578374/ https://www.ncbi.nlm.nih.gov/pubmed/28875072 http://dx.doi.org/10.7717/peerj.3712 |
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