Imperial College London


Faculty of Natural SciencesDepartment of Mathematics

Research Associate



a.mannan Website




6M34Huxley BuildingSouth Kensington Campus





My research interests lie at the interface between mathematics, molecular biology and synthetic biology. I completed my undergraduate in MSci Mathematics from Imperial College London, and continued my interest in mathematical biology to pursue a PhD studentship in the field of Systems Biology, at the University of Surrey. The core part of my thesis was on the construction of a kinetic model of the central carbon metabolism of E. coli. After continuing onto a short postdoc position at University of Surrey in the same area, I moved to the University of Aberdeen, UK, to pursue a postdoc position to study the metabolism of O. sativa (rice plant). My mathematical knowledge of dynamic systems techniques merged with my fascination of cell metabolism and instigated my interest in understanding how the regulation of enzymes controls and directs cell metabolism.

Currently, I am a postdoc research associate in the Biomolecular control group of Dr. Diego Oyarzún, at the Department of Mathematics. Here, I work on modelling the interaction between gene regulation and cell metabolism, and use control theory and dynamical systems techniques to understand how the regulatory circuit architecture and parameters affect the behaviour of these systems.

I am also very interest in applying these understandings to help direct the design of synthetic genetic circuits for applications in metabolic engineering and synthetic biology.



Mannan AA, Liu D, Zhang F, et al., 2017, Fundamental Design Principles for Transcription-Factor-Based Metabolite Biosensors., Acs Synth Biol

Weisse AY, Mannan AA, Oyarzun DA, 2016, Signaling Tug-of-War Delivers the Whole Message, Cell Systems, Vol:3, ISSN:2405-4712, Pages:414-416

Wu H, von Kamp A, Leoncikas V, et al., 2016, MUFINS: multi-formalism interaction network simulator., Npj Syst Biol Appl, Vol:2, ISSN:2056-7189

Mannan AA, Toya Y, Shimizu K, et al., 2015, Integrating Kinetic Model of E. coli with Genome Scale Metabolic Fluxes Overcomes Its Open System Problem and Reveals Bistability in Central Metabolism, Plos One, Vol:10, ISSN:1932-6203

Mendum TA, Newcombe J, Mannan AA, et al., 2011, Interrogation of global mutagenesis data with a genome scale model of Neisseria meningitidis to assess gene fitness in vitro and in sera, Genome Biology, Vol:12, ISSN:1474-760X

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