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GPS 5.0: An Update on the Prediction of Kinase-specific Phosphorylation Sites in Proteins
In eukaryotes, protein phosphorylation is specifically catalyzed by numerous protein kinases (PKs), faithfully orchestrates various biological processes, and reversibly determines cellular dynamics and plasticity. Here we report an updated algorithm of Group-based Prediction System (GPS) 5.0 to impr...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393560/ https://www.ncbi.nlm.nih.gov/pubmed/32200042 http://dx.doi.org/10.1016/j.gpb.2020.01.001 |
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author | Wang, Chenwei Xu, Haodong Lin, Shaofeng Deng, Wankun Zhou, Jiaqi Zhang, Ying Shi, Ying Peng, Di Xue, Yu |
author_facet | Wang, Chenwei Xu, Haodong Lin, Shaofeng Deng, Wankun Zhou, Jiaqi Zhang, Ying Shi, Ying Peng, Di Xue, Yu |
author_sort | Wang, Chenwei |
collection | PubMed |
description | In eukaryotes, protein phosphorylation is specifically catalyzed by numerous protein kinases (PKs), faithfully orchestrates various biological processes, and reversibly determines cellular dynamics and plasticity. Here we report an updated algorithm of Group-based Prediction System (GPS) 5.0 to improve the performance for predicting kinase-specific phosphorylation sites (p-sites). Two novel methods, position weight determination (PWD) and scoring matrix optimization (SMO), were developed. Compared with other existing tools, GPS 5.0 exhibits a highly competitive accuracy. Besides serine/threonine or tyrosine kinases, GPS 5.0 also supports the prediction of dual-specificity kinase-specific p-sites. In the classical module of GPS 5.0, 617 individual predictors were constructed for predicting p-sites of 479 human PKs. To extend the application of GPS 5.0, a species-specific module was implemented to predict kinase-specific p-sites for 44,795 PKs in 161 eukaryotes. The online service and local packages of GPS 5.0 are freely available for academic research at http://gps.biocuckoo.cn. |
format | Online Article Text |
id | pubmed-7393560 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-73935602020-08-04 GPS 5.0: An Update on the Prediction of Kinase-specific Phosphorylation Sites in Proteins Wang, Chenwei Xu, Haodong Lin, Shaofeng Deng, Wankun Zhou, Jiaqi Zhang, Ying Shi, Ying Peng, Di Xue, Yu Genomics Proteomics Bioinformatics Web Server In eukaryotes, protein phosphorylation is specifically catalyzed by numerous protein kinases (PKs), faithfully orchestrates various biological processes, and reversibly determines cellular dynamics and plasticity. Here we report an updated algorithm of Group-based Prediction System (GPS) 5.0 to improve the performance for predicting kinase-specific phosphorylation sites (p-sites). Two novel methods, position weight determination (PWD) and scoring matrix optimization (SMO), were developed. Compared with other existing tools, GPS 5.0 exhibits a highly competitive accuracy. Besides serine/threonine or tyrosine kinases, GPS 5.0 also supports the prediction of dual-specificity kinase-specific p-sites. In the classical module of GPS 5.0, 617 individual predictors were constructed for predicting p-sites of 479 human PKs. To extend the application of GPS 5.0, a species-specific module was implemented to predict kinase-specific p-sites for 44,795 PKs in 161 eukaryotes. The online service and local packages of GPS 5.0 are freely available for academic research at http://gps.biocuckoo.cn. Elsevier 2020-02 2020-03-19 /pmc/articles/PMC7393560/ /pubmed/32200042 http://dx.doi.org/10.1016/j.gpb.2020.01.001 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Web Server Wang, Chenwei Xu, Haodong Lin, Shaofeng Deng, Wankun Zhou, Jiaqi Zhang, Ying Shi, Ying Peng, Di Xue, Yu GPS 5.0: An Update on the Prediction of Kinase-specific Phosphorylation Sites in Proteins |
title | GPS 5.0: An Update on the Prediction of Kinase-specific Phosphorylation Sites in Proteins |
title_full | GPS 5.0: An Update on the Prediction of Kinase-specific Phosphorylation Sites in Proteins |
title_fullStr | GPS 5.0: An Update on the Prediction of Kinase-specific Phosphorylation Sites in Proteins |
title_full_unstemmed | GPS 5.0: An Update on the Prediction of Kinase-specific Phosphorylation Sites in Proteins |
title_short | GPS 5.0: An Update on the Prediction of Kinase-specific Phosphorylation Sites in Proteins |
title_sort | gps 5.0: an update on the prediction of kinase-specific phosphorylation sites in proteins |
topic | Web Server |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393560/ https://www.ncbi.nlm.nih.gov/pubmed/32200042 http://dx.doi.org/10.1016/j.gpb.2020.01.001 |
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