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For: Chowdhury S, Fong SS. Leveraging genome-scale metabolic models for human health applications. Curr Opin Biotechnol 2020;66:267-76. [PMID: 33120253 DOI: 10.1016/j.copbio.2020.08.017] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 2.3] [Reference Citation Analysis]
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5 Ng RH, Lee JW, Baloni P, Diener C, Heath JR, Su Y. Constraint-Based Reconstruction and Analyses of Metabolic Models: Open-Source Python Tools and Applications to Cancer. Front Oncol 2022;12:914594. [DOI: 10.3389/fonc.2022.914594] [Reference Citation Analysis]
6 Hrovatin K, Fischer DS, Theis FJ. Toward modeling metabolic state from single-cell transcriptomics. Mol Metab 2021;:101396. [PMID: 34785394 DOI: 10.1016/j.molmet.2021.101396] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 3.5] [Reference Citation Analysis]
7 Chung CH, Lin DW, Eames A, Chandrasekaran S. Next-Generation Genome-Scale Metabolic Modeling through Integration of Regulatory Mechanisms. Metabolites 2021;11:606. [PMID: 34564422 DOI: 10.3390/metabo11090606] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 4.0] [Reference Citation Analysis]
8 Tang L, Xu P, Zhang H. Editorial overview: Tissue, cell and pathway engineering: programming biology for smart therapeutics, microbial cell factory and intelligent biomanufacturing. Curr Opin Biotechnol 2020;66:iii-vi. [PMID: 33218951 DOI: 10.1016/j.copbio.2020.10.010] [Reference Citation Analysis]