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PASMet: a web-based platform for prediction, modelling and analyses of metabolic systems
PASMet (Prediction, Analysis and Simulation of Metabolic networks) is a web-based platform for proposing and verifying mathematical models to understand the dynamics of metabolism. The advantages of PASMet include user-friendliness and accessibility, which enable biologists and biochemists to easily...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987946/ https://www.ncbi.nlm.nih.gov/pubmed/27174940 http://dx.doi.org/10.1093/nar/gkw415 |
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author | Sriyudthsak, Kansuporn Mejia, Ramon Francisco Arita, Masanori Hirai, Masami Yokota |
author_facet | Sriyudthsak, Kansuporn Mejia, Ramon Francisco Arita, Masanori Hirai, Masami Yokota |
author_sort | Sriyudthsak, Kansuporn |
collection | PubMed |
description | PASMet (Prediction, Analysis and Simulation of Metabolic networks) is a web-based platform for proposing and verifying mathematical models to understand the dynamics of metabolism. The advantages of PASMet include user-friendliness and accessibility, which enable biologists and biochemists to easily perform mathematical modelling. PASMet offers a series of user-functions to handle the time-series data of metabolite concentrations. The functions are organised into four steps: (i) Prediction of a probable metabolic pathway and its regulation; (ii) Construction of mathematical models; (iii) Simulation of metabolic behaviours; and (iv) Analysis of metabolic system characteristics. Each function contains various statistical and mathematical methods that can be used independently. Users who may not have enough knowledge of computing or programming can easily and quickly analyse their local data without software downloads, updates or installations. Users only need to upload their files in comma-separated values (CSV) format or enter their model equations directly into the website. Once the time-series data or mathematical equations are uploaded, PASMet automatically performs computation on server-side. Then, users can interactively view their results and directly download them to their local computers. PASMet is freely available with no login requirement at http://pasmet.riken.jp/ from major web browsers on Windows, Mac and Linux operating systems. |
format | Online Article Text |
id | pubmed-4987946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-49879462016-08-22 PASMet: a web-based platform for prediction, modelling and analyses of metabolic systems Sriyudthsak, Kansuporn Mejia, Ramon Francisco Arita, Masanori Hirai, Masami Yokota Nucleic Acids Res Web Server issue PASMet (Prediction, Analysis and Simulation of Metabolic networks) is a web-based platform for proposing and verifying mathematical models to understand the dynamics of metabolism. The advantages of PASMet include user-friendliness and accessibility, which enable biologists and biochemists to easily perform mathematical modelling. PASMet offers a series of user-functions to handle the time-series data of metabolite concentrations. The functions are organised into four steps: (i) Prediction of a probable metabolic pathway and its regulation; (ii) Construction of mathematical models; (iii) Simulation of metabolic behaviours; and (iv) Analysis of metabolic system characteristics. Each function contains various statistical and mathematical methods that can be used independently. Users who may not have enough knowledge of computing or programming can easily and quickly analyse their local data without software downloads, updates or installations. Users only need to upload their files in comma-separated values (CSV) format or enter their model equations directly into the website. Once the time-series data or mathematical equations are uploaded, PASMet automatically performs computation on server-side. Then, users can interactively view their results and directly download them to their local computers. PASMet is freely available with no login requirement at http://pasmet.riken.jp/ from major web browsers on Windows, Mac and Linux operating systems. Oxford University Press 2016-07-08 2016-05-12 /pmc/articles/PMC4987946/ /pubmed/27174940 http://dx.doi.org/10.1093/nar/gkw415 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Web Server issue Sriyudthsak, Kansuporn Mejia, Ramon Francisco Arita, Masanori Hirai, Masami Yokota PASMet: a web-based platform for prediction, modelling and analyses of metabolic systems |
title | PASMet: a web-based platform for prediction, modelling and analyses of metabolic systems |
title_full | PASMet: a web-based platform for prediction, modelling and analyses of metabolic systems |
title_fullStr | PASMet: a web-based platform for prediction, modelling and analyses of metabolic systems |
title_full_unstemmed | PASMet: a web-based platform for prediction, modelling and analyses of metabolic systems |
title_short | PASMet: a web-based platform for prediction, modelling and analyses of metabolic systems |
title_sort | pasmet: a web-based platform for prediction, modelling and analyses of metabolic systems |
topic | Web Server issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987946/ https://www.ncbi.nlm.nih.gov/pubmed/27174940 http://dx.doi.org/10.1093/nar/gkw415 |
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