Jiang, ShouyongWang, YongKaiser, MarcusKrasnogor, Natalio2022-02-222022-02-222020-06-01Jiang, S, Wang, Y, Kaiser, M & Krasnogor, N 2020, 'NIHBA : A network interdiction approach for metabolic engineering design', Bioinformatics, vol. 36, no. 11, pp. 3482-3492. https://doi.org/10.1093/bioinformatics/btaa1631367-4803https://hdl.handle.net/2164/18119Funding Information: This work was 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)’. N.K. was funded by a Royal Academy of Engineering Chair in Emerging Technology award.111235608engR MedicineStatistics and ProbabilityBiochemistryMolecular BiologyComputer Science ApplicationsComputational Theory and MathematicsComputational MathematicsSupplementary DataRNIHBA : A network interdiction approach for metabolic engineering designJournal article10.1093/bioinformatics/btaa163http://www.scopus.com/inward/record.url?scp=85085904304&partnerID=8YFLogxK3611