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PEIMAN 1.0: Post-translational modification Enrichment, Integration and Matching ANalysis
Conventional proteomics has discovered a wide gap between protein sequences and biological functions. The third generation of proteomics was provoked to bridge this gap. Targeted and untargeted post-translational modification (PTM) studies are the most important parts of today’s proteomics. Consider...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4408379/ https://www.ncbi.nlm.nih.gov/pubmed/25911152 http://dx.doi.org/10.1093/database/bav037 |
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author | Nickchi, Payman Jafari, Mohieddin Kalantari, Shiva |
author_facet | Nickchi, Payman Jafari, Mohieddin Kalantari, Shiva |
author_sort | Nickchi, Payman |
collection | PubMed |
description | Conventional proteomics has discovered a wide gap between protein sequences and biological functions. The third generation of proteomics was provoked to bridge this gap. Targeted and untargeted post-translational modification (PTM) studies are the most important parts of today’s proteomics. Considering the expensive and time-consuming nature of experimental methods, computational methods are developed to study, analyze, predict, count and compute the PTM annotations on proteins. The enrichment analysis softwares are among the common computational biology and bioinformatic software packages. The focus of such softwares is to find the probability of occurrence of the desired biological features in any arbitrary list of genes/proteins. We introduce Post-translational modification Enrichment Integration and Matching Analysis (PEIMAN) software to explore more probable and enriched PTMs on proteins. Here, we also represent the statistics of detected PTM terms used in enrichment analysis in PEIMAN software based on the latest released version of UniProtKB/Swiss-Prot. These results, in addition to giving insight to any given list of proteins, could be useful to design targeted PTM studies for identification and characterization of special chemical groups. Database URL: http://bs.ipm.ir/softwares/PEIMAN/ |
format | Online Article Text |
id | pubmed-4408379 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-44083792015-06-26 PEIMAN 1.0: Post-translational modification Enrichment, Integration and Matching ANalysis Nickchi, Payman Jafari, Mohieddin Kalantari, Shiva Database (Oxford) Original Article Conventional proteomics has discovered a wide gap between protein sequences and biological functions. The third generation of proteomics was provoked to bridge this gap. Targeted and untargeted post-translational modification (PTM) studies are the most important parts of today’s proteomics. Considering the expensive and time-consuming nature of experimental methods, computational methods are developed to study, analyze, predict, count and compute the PTM annotations on proteins. The enrichment analysis softwares are among the common computational biology and bioinformatic software packages. The focus of such softwares is to find the probability of occurrence of the desired biological features in any arbitrary list of genes/proteins. We introduce Post-translational modification Enrichment Integration and Matching Analysis (PEIMAN) software to explore more probable and enriched PTMs on proteins. Here, we also represent the statistics of detected PTM terms used in enrichment analysis in PEIMAN software based on the latest released version of UniProtKB/Swiss-Prot. These results, in addition to giving insight to any given list of proteins, could be useful to design targeted PTM studies for identification and characterization of special chemical groups. Database URL: http://bs.ipm.ir/softwares/PEIMAN/ Oxford University Press 2015-04-23 /pmc/articles/PMC4408379/ /pubmed/25911152 http://dx.doi.org/10.1093/database/bav037 Text en © The Author(s) 2015. Published by Oxford University Press. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Nickchi, Payman Jafari, Mohieddin Kalantari, Shiva PEIMAN 1.0: Post-translational modification Enrichment, Integration and Matching ANalysis |
title | PEIMAN 1.0: Post-translational modification Enrichment, Integration and Matching ANalysis |
title_full | PEIMAN 1.0: Post-translational modification Enrichment, Integration and Matching ANalysis |
title_fullStr | PEIMAN 1.0: Post-translational modification Enrichment, Integration and Matching ANalysis |
title_full_unstemmed | PEIMAN 1.0: Post-translational modification Enrichment, Integration and Matching ANalysis |
title_short | PEIMAN 1.0: Post-translational modification Enrichment, Integration and Matching ANalysis |
title_sort | peiman 1.0: post-translational modification enrichment, integration and matching analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4408379/ https://www.ncbi.nlm.nih.gov/pubmed/25911152 http://dx.doi.org/10.1093/database/bav037 |
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