Scientific Reports (Apr 2017)

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

  • Chao Ye,
  • Nan Xu,
  • Chuan Dong,
  • Yuannong Ye,
  • Xuan Zou,
  • Xiulai Chen,
  • Fengbiao Guo,
  • Liming Liu

DOI
https://doi.org/10.1038/s41598-017-00820-6
Journal volume & issue
Vol. 7, no. 1
pp. 1 – 9

Abstract

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Abstract 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.