A Novel Topology-Based Candidate Reaction Prediction Approach for Gap-Fillings of Genome-Scale Metabolic Models
: For potential applications in metabolic engineering, biomedicine, etc., this proposed GHCN-SE can be used to further improve the phenotypic prediction accuracy of the draft GEM generated from automated reconstruction tools.
Authors
- Kai Wang (ORCID: https://orcid.org/0000-0002-6309-8370)
- Jiajun Qu
Institutions
- Jiangnan University (CN)
Publication Details
- Journal
- Metabolites
- Published
- 2026-04-12
- DOI
- https://doi.org/10.3390/metabo16040258
- Primary Topic
- Microbial Metabolic Engineering and Bioproduction
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Ministry of Science and Technology of the People's Republic of China
- National Key Research and Development Program of China