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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...

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Detalles Bibliográficos
Autores principales: Nickchi, Payman, Jafari, Mohieddin, Kalantari, Shiva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
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/
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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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