Jiang, ShouyongOtero Muras, IreneBanga, Julio R.Wang, YongKaiser, MarcusKrasnogor, Natalio2022-12-202022-12-202022-04-15Jiang, S, Otero Muras, I, Banga, J R, Wang, Y, Kaiser, M & Krasnogor, N 2022, 'OptDesign : Identifying Optimum Design Strategies in Strain Engineering for Biochemical Production', ACS Synthetic Biology, vol. 11, no. 4, pp. 1531–1541. https://doi.org/10.1021/acssynbio.1c006102161-5063https://hdl.handle.net/2164/19759Acknowledgements This work has been supported by the Engineering and Physical Sciences Research Council (EPSRC) for funding project “Synthetic Portabolomics: Leading the way at the crossroads of the Digital and the Bio Economies (EP/N031962/1)”. SJ acknowledges funding from BBSRC Mitigation Fund RG16134-18. IMO and JRB acknowledges funding from MCIN/AEI/ 10.13039/501100011033 and “ERDF A way of making Europe” through grant DPI2017-82896-C2-2-R YNBIOCONTROL). JRB acknowledges funding from MCIN/AEI/ 10.13039/501100011033 through grant PID2020-117271RB-C22 (BIODYNAMICS). YW acknowledges funding from National Natural Science Foundation of China (Grant No. 61976225). NK is funded by a Royal Academy of Engineering Chair in Emerging Technology award1112188852342093enggrowth-coupled designedflux changegenome-scale metabolicsystems biologyin silico strain designbiotechnologyQA75 Electronic computers. Computer scienceQR MicrobiologyTP Chemical technologyEngineering and Physical Sciences Research Council (EPSRC)EP/N031962/1Biotechnology and Biological Sciences Research Council (BBSRC)RG16134-18QA75QRTPJournal article10.1021/acssynbio.1c00610114