糖心TV

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Journal publications

[15] MK Khaleghi*, W Hope*, C Euler and APS Darlington 鈥淒esign frameworks for engineering microbial cell factories鈥� (submitted)

[14] CG Zamora Chimal and APS Darlington 鈥淗ySimODE: A hybrid stochastic-deterministic simulation framework multiscale models of biological systems鈥� (submitted)

[13] DP Byrom and APS Darlington^# 鈥淓ngineering feedback controllers to improve the evolutionary longevity of synthetic gene circuits鈥� Nature Communications,16, e8590 doi:

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[12] J Kim*, APS Darlington*^#, S Mu帽oz-Montero, R Montenegro, P Dalby, N Herrera-Martin, A Banks, S Prakash, K Polizzi, DG Bates and JI Jim茅nez^# 鈥淕ene expression capacity is determined by the interplay between growth rate, resource biogenesis and nutrient quality.鈥� ACS Synthetic Biology, 14(6), pp 2012-2029 doi:

[11] M Spurgeon, T Clark, TR Spartalis, APS Darlington, Xun Tang^# and M Foo^# 鈥淒esigning biological network motif-based controllers by reverse engineering Hill function-type models from linear models鈥� Royal Society Interface, 22, 20240811. doi:

[10] A Mannan*, APS Darlington*^#, RJ Tanaka and DG Bates^# (2025) 鈥淧rinciples of engineering bacteria for efficient chemical production within limited cellular resources.鈥� Nature Communications, 16, e279 doi:

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[9] J Kim, S Lee, APS Darlington and J Kim (2024) 鈥淩esource reallocation in fleQ-deficient Pseudomonas putida enables consistent heterologous gene expression across various growth media.鈥� Microbial Biotechnology, 17(11), e70054

[8] H Peng, APS Darlington, E South, HH Cohen, W Jiang and R Ledesma-Amaro (2024) 鈥淎 characterized yeast toolkit for developing simple and complex microbial coculture systems.鈥� Nature Microbiology, 9(3), pp. 848-863 doi:

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 [7] APS Darlington and DG Bates (2020) 鈥淎rchitectures for combined transcriptional and translational resource allocation controllers.鈥� Cell Systems, 11(4), pp. 382-392. doi:

[6] J Kim*, APS Darlington*, M Salvador, J Utrilla, and JI Jim茅nez (2020) 鈥淭rade-offs between gene expression, growth and phenotypic diversity in microbial populations.鈥� Current Opinion in Biotechnology, 62, pp. 29-37. doi:

[5] APS Darlington, J Kim, and DG Bates (2019) 鈥淩obustness analysis of a synthetic translational resource allocation controller.鈥� IEEE Control Systems Letters, 3(2), pp. 266-271. doi:

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[4] I Cazimoglu, APS Darlington, A Grigonyte, CEG Hoskin, J Liu, R, Oppenheimer, JA Siller-Farfan, R Carlise, C Grierson and A Papachristodoulou (2019) 鈥淒evelopment of a Graduate Training Programme in Synthetic Biology: SynBioCDT.鈥� OUP Synthetic Biology, 4(1), ysz006. doi:

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[3] APS Darlington, J Kim, JI Jim茅nez, and DG Bates (2018) 鈥淓ngineering translational resource allocation controllers: Mechanistic models, design rules and biological implementations.鈥� ACS Synthetic Biology, 7(11), pp. 2485-2496. doi:

[2] APS Darlington*, J Kim*, JI Jim茅nez, and DG Bates (2018) 鈥淒ynamic allocation of orthogonal ribosomes facilitates uncoupling of co-expressed genes.鈥� Nature Communications, 9, e695. doi:

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[1] AW Cuthbert, M Murthy, and APS Darlington (2015) 鈥淣eural control of submucosal gland and apical membrane secretions in airways.鈥� Physiological Reports 3(6) e12398. doi:

Peer-reviewed Conference proceedings

[12] W Hope, CX Sequerios Ferrerio and APS Darlington^# 鈥淐alibration of microbial growth models using direct and indirect measurements鈥� (submitted)

[11] T Clark, M Foo and APS Darlington^# 鈥淥n the implications of finite cellular resources for engineering the dynamics of two-gene controller motifs in synthetic biology鈥� (submitted)

[10] DP Byrom and APS Darlington^# 鈥淪election of control inputs for enhancing the long-term performance of synthetic gene circuits.鈥� Proc. of the 63nd IEEE Conference on Decision and Control, Milan, Italy. doi:

[9] APS Darlington^#, A Mannan and D Bates 鈥淐omparison of closed loop control strategies for activating genetic switches.鈥� Proc. of the 63nd IEEE Conference on Decision and Control, Milan, Italy. doi: .

[8] DP Byrom and APS Darlington^#. 鈥淥n the implications of controller resource consumption for the long-term performance of synthetic gene circuits.鈥� Proc. of the 62nd IEEE Conference on Decision and Control, Singapore. doi: .

[7] APS Darlington^#, A Mannan, and DG Bates. 鈥淣atural host feedback simplifies the design of metabolic switches.鈥� Proc. of the 62nd IEEE Conference on Decision and Control, Singapore. doi: .

[6] APS Darlington and DG Bates (2022) 鈥淧erformance and robustness analysis of control strategies for ameliorating cellular host-circuit interactions鈥� Proc. of the 20^th IEEE European Control Conference, London, UK. doi:

[5] APS Darlington and DG Bates (2020) 鈥淩obustness analysis of combined transcriptional and translational resource allocation controllers.鈥� Proc. of the 21st IFAC World Congress, Berlin, Germany

[4] APS Darlington and DG Bates (2019) 鈥淐ombining transcriptional and translational resource allocation controllers for synthetic circuits.鈥� Proc. of the 58^th IEEE Conference on Decision and Control, Nice, France. doi:

[3] APS Darlington and DG Bates (2018) 鈥淥n the design of integral translational resource allocation controllers for synthetic cellular circuitry.鈥� Proc. of the 57th IEEE Conference on Decision and Control, Miami, FL, USA. doi:

[2] APS Darlington, J Kim, JI Jim茅nez and DG Bates (2017) 鈥淒esign of a translational resource allocation controller to manage cellular resource limitations.鈥� Proc. of the 20th World Congress of the International Federation of Automatic Control, Toulouse, France available as IFAC-PapersOnLine, 50 (1), pp. 12653-12660. doi:

[1] APS Darlington and DG Bates (2016) 鈥淗ost-aware modelling of a synthetic genetic oscillator.鈥� Proc. of the 38th IEEE Engineering in Medicine and Biology Conference, Orlando, FL, USA. doi: