Orkun S. Soyer

Affiliations: 
University of Warwick, Coventry, England, United Kingdom 
Area:
Computational biology, systems biology, synthetic biology, evolution
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"Orkun Soyer"
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Parents

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Richard A. Goldstein grad student 2000-2004 University of Michigan
 (Evolutionarily motivated computational methods for analysis of protein sequences.)
Sebastian Bonhoeffer post-doc 2004-2006 ETH Zürich (Evolution Tree)

Children

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Song Feng grad student 2013-2016 University of Warwick (Evolution Tree)
Jerko Rosko post-doc 2021- University of Warwick (Physics Tree)
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Publications

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Schofield Z, Meloni GN, Tran P, et al. (2020) Correction to 'Bioelectrical understanding and engineering of cell biology'. Journal of the Royal Society, Interface. 17: 20200435
Schofield Z, Meloni GN, Tran P, et al. (2020) Bioelectrical understanding and engineering of cell biology. Journal of the Royal Society, Interface. 17: 20200013
Delattre H, Chen J, Wade MJ, et al. (2020) Thermodynamic modelling of synthetic communities predicts minimum free energy requirements for sulfate reduction and methanogenesis. Journal of the Royal Society, Interface. 17: 20200053
Zerfaß C, Asally M, Soyer OS. (2019) Interrogating metabolism as an electron flow system. Current Opinion in Systems Biology. 13: 59-67
Feng S, Soyer OS. (2019) In Silico Evolution of Signaling Networks Using Rule-Based Models: Bistable Response Dynamics. Methods in Molecular Biology (Clifton, N.J.). 1945: 315-339
Jiang X, Zerfaß C, Feng S, et al. (2018) Impact of spatial organization on a novel auxotrophic interaction among soil microbes. The Isme Journal
Zerfaß C, Chen J, Soyer OS. (2017) Engineering microbial communities using thermodynamic principles and electrical interfaces. Current Opinion in Biotechnology. 50: 121-127
Cavaliere M, Feng S, Soyer O, et al. (2017) Cooperation in microbial communities and their biotechnological applications. Environmental Microbiology
Feng S, Sáez M, Wiuf C, et al. (2016) Core signalling motif displaying multistability through multi-state enzymes. Journal of the Royal Society, Interface. 13
Großkopf T, Consuegra J, Gaffé J, et al. (2016) Metabolic modelling in a dynamic evolutionary framework predicts adaptive diversification of bacteria in a long-term evolution experiment. Bmc Evolutionary Biology. 16: 163
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