Systematic assessment of template-based genome-scale metabolic models created with the BiGG Integration Tool.

ABSTRACT: Genome-scale metabolic models (GEMs) are essential tools for in silico phenotype prediction and strain optimisation. The most straightforward GEMs reconstruction approach uses published models as templates to generate the initial draft, requiring further curation. Such an approach is used by BiGG Integration Tool (BIT), available for merlin users. This tool uses models from BiGG Models database as templates for the draft models. Moreover, BIT allows the selection between different template combinations. The main objective of this study is to assess the draft models generated using this tool and compare them BIT, comparing these to CarveMe models, both of which use the BiGG database, and curated models. For this, three organisms were selected, namely Streptococcus thermophi

SUBMITTER: Oliveira A 

PROVIDER: S-EPMC9521827 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature