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IMGMD: A platform for the integration and standardisation of In silico Microbial Genome-scale Metabolic Models

Genome-scale metabolic models (GSMMs) constitute a platform that combines genome sequences and detailed biochemical information to quantify microbial physiology at the system level. To improve the unity, integrity, correctness, and format of data in published GSMMs, a consensus IMGMD database was bu...

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Autores principales: Ye, Chao, Xu, Nan, Dong, Chuan, Ye, Yuannong, Zou, Xuan, Chen, Xiulai, Guo, Fengbiao, Liu, Liming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5429687/
https://www.ncbi.nlm.nih.gov/pubmed/28389638
http://dx.doi.org/10.1038/s41598-017-00820-6
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author Ye, Chao
Xu, Nan
Dong, Chuan
Ye, Yuannong
Zou, Xuan
Chen, Xiulai
Guo, Fengbiao
Liu, Liming
author_facet Ye, Chao
Xu, Nan
Dong, Chuan
Ye, Yuannong
Zou, Xuan
Chen, Xiulai
Guo, Fengbiao
Liu, Liming
author_sort Ye, Chao
collection PubMed
description Genome-scale metabolic models (GSMMs) constitute a platform that combines genome sequences and detailed biochemical information to quantify microbial physiology at the system level. To improve the unity, integrity, correctness, and format of data in published GSMMs, a consensus IMGMD database was built in the LAMP (Linux + Apache + MySQL + PHP) system by integrating and standardizing 328 GSMMs constructed for 139 microorganisms. The IMGMD database can help microbial researchers download manually curated GSMMs, rapidly reconstruct standard GSMMs, design pathways, and identify metabolic targets for strategies on strain improvement. Moreover, the IMGMD database facilitates the integration of wet-lab and in silico data to gain an additional insight into microbial physiology. The IMGMD database is freely available, without any registration requirements, at http://imgmd.jiangnan.edu.cn/database.
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spelling pubmed-54296872017-05-15 IMGMD: A platform for the integration and standardisation of In silico Microbial Genome-scale Metabolic Models Ye, Chao Xu, Nan Dong, Chuan Ye, Yuannong Zou, Xuan Chen, Xiulai Guo, Fengbiao Liu, Liming Sci Rep Article Genome-scale metabolic models (GSMMs) constitute a platform that combines genome sequences and detailed biochemical information to quantify microbial physiology at the system level. To improve the unity, integrity, correctness, and format of data in published GSMMs, a consensus IMGMD database was built in the LAMP (Linux + Apache + MySQL + PHP) system by integrating and standardizing 328 GSMMs constructed for 139 microorganisms. The IMGMD database can help microbial researchers download manually curated GSMMs, rapidly reconstruct standard GSMMs, design pathways, and identify metabolic targets for strategies on strain improvement. Moreover, the IMGMD database facilitates the integration of wet-lab and in silico data to gain an additional insight into microbial physiology. The IMGMD database is freely available, without any registration requirements, at http://imgmd.jiangnan.edu.cn/database. Nature Publishing Group UK 2017-04-07 /pmc/articles/PMC5429687/ /pubmed/28389638 http://dx.doi.org/10.1038/s41598-017-00820-6 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Ye, Chao
Xu, Nan
Dong, Chuan
Ye, Yuannong
Zou, Xuan
Chen, Xiulai
Guo, Fengbiao
Liu, Liming
IMGMD: A platform for the integration and standardisation of In silico Microbial Genome-scale Metabolic Models
title IMGMD: A platform for the integration and standardisation of In silico Microbial Genome-scale Metabolic Models
title_full IMGMD: A platform for the integration and standardisation of In silico Microbial Genome-scale Metabolic Models
title_fullStr IMGMD: A platform for the integration and standardisation of In silico Microbial Genome-scale Metabolic Models
title_full_unstemmed IMGMD: A platform for the integration and standardisation of In silico Microbial Genome-scale Metabolic Models
title_short IMGMD: A platform for the integration and standardisation of In silico Microbial Genome-scale Metabolic Models
title_sort imgmd: a platform for the integration and standardisation of in silico microbial genome-scale metabolic models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5429687/
https://www.ncbi.nlm.nih.gov/pubmed/28389638
http://dx.doi.org/10.1038/s41598-017-00820-6
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