| Literature DB >> 25765281 |
Michael Feig1, Ryuhei Harada2, Takaharu Mori3, Isseki Yu4, Koichi Takahashi5, Yuji Sugita6.
Abstract
A model for the cytoplasm of Mycoplasma genitalium is presented that integrates data from a variety of sources into a physically and biochemically consistent model. Based on gene annotations, core genes expected to be present in the cytoplasm were determined and a metabolic reaction network was reconstructed. The set of cytoplasmic genes and metabolites from the predicted reactions were assembled into a comprehensive atomistic model consisting of proteins with predicted structures, RNA, protein/RNA complexes, metabolites, ions, and solvent. The resulting model bridges between atomistic and cellular scales, between physical and biochemical aspects, and between structural and systems views of cellular systems and is meant as a starting point for a variety of simulation studies.Entities:
Keywords: Crowding; Metabolic reaction network; Mycoplasma genitalium; Protein structure prediction
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Year: 2015 PMID： 25765281 PMCID： PMC4388805 DOI： 10.1016/j.jmgm.2015.02.004
Source DB: PubMed Journal: J Mol Graph Model ISSN： 1093-3263 Impact factor: 2.518