Growthmediated negative feedback shapes quantitative antibiotic response
A. Angermayr, T.Y. Pang, G. Chevereau, K. Mitosch, M.J. Lercher, M.T. Bollenbach, Molecular Systems Biology 18 (2022).

Emergent gene expression responses to drug combinations predict higher-order drug interactions
M. Lukacisin, M.T. Bollenbach, Cell Systems 9 (2019) 423-433.e1-e3.

Quantitative investigation of gene expression principles through combinatorial drug perturbation and theory
M. Lukacisin, Quantitative Investigation of Gene Expression Principles through Combinatorial Drug Perturbation and Theory, IST Austria, 2019.

Genetic determinants of antibiotic resistance evolution
M. Lukacisinova, Genetic Determinants of Antibiotic Resistance Evolution, Institute of Science and Technology Austria, 2018.

Nonhierarchical flux regulation exposes the fitness burden associated with lactate production in Synechocystis sp. P
W. Du, A. Angermayr, J. Jongbloets, D. Molenaar, H. Bachmann, K. Hellingwerf, F. Branco Dos Santos, ACS Synthetic Biology 6 (2017) 395–401.

Modelling and simulation details
M. Lukacisinova, S. Novak, T. Paixao, (2017).

Extensions of the model
M. Lukacisinova, S. Novak, T. Paixao, (2017).

Heuristic prediction for multiple stresses
M. Lukacisinova, S. Novak, T. Paixao, (2017).

Resistance frequencies for different combination strategies
M. Lukacisinova, S. Novak, T. Paixao, (2017).

Timing, variability and cross-protection in bacteria – insights from dynamic gene expression responses to antibiotics
K. Mitosch, Timing, Variability and Cross-Protection in Bacteria – Insights from Dynamic Gene Expression Responses to Antibiotics, Institute of Science and Technology Austria, 2017.