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Weglarz-Tomczak, E., Mondeel, T. D. G. A., Piebes, D. G. E., & Westerhoff, H. V. (2021). Simultaneous integration of gene expression and nutrient availability for studying the metabolism of hepatocellular carcinoma cell lines. BIOMOLECULES, 11(4), [490]. https://doi.org/10.3390/biom11040490[details]
Kolodkin, A. N., Sharma, R. P., Colangelo, A. M., Ignatenko, A., Martorana, F., Jennen, D., Briedé, J. J., Brady, N., Barberis, M., Mondeel, T. D. G. A., Papa, M., Kumar, V., Peters, B., Skupin, A., Alberghina, L., Balling, R., & Westerhoff, H. V. (2020). ROS networks: Designs, aging, Parkinson's disease and precision therapies. Npj Systems Biology and Applications, 6, [34]. https://doi.org/10.1038/s41540-020-00150-w[details]
Mondeel, T. D. G. A., Ivanov, O., Westerhoff, H. V., Liebermeister, W., & Barberis, M. (2020). Clb3-centered regulations are recurrent across distinct parameter regions in minimal autonomous cell cycle oscillator designs. Npj Systems Biology and Applications, 6, [8]. https://doi.org/10.1038/s41540-020-0125-0[details]
Barberis, M., & Mondeel, D. G. A. (2019). ChIP-exo analysis highlights Fkh1 and Fkh2 transcription factors as hubs that integrate multi-scale networks in budding yeast. Nucleic Acids Research.
2018
Barberis, M., & Mondeel, D. G. A. (2018). GEMMER: GEnome-wide tool for Multi-scale Modeling data Extraction and Representation for Saccharomyces cerevisiae. Bioinformatics.
2017
Abudukelimu, A., Mondeel, T. D. G. A., Barberis, M., & Westerhoff, H. V. (2017). Learning to read and write in evolution: from static pseudoenzymes and pseudosignalers to dynamic gear shifters. Biochemical Society Transactions, 45(3), 635-652. https://doi.org/10.1042/BST20160281[details]
2015
Westerhoff, H. V., Nakayama, S., Mondeel, T. D. G. A., & Barberis, M. (2015). Systems Pharmacology: An opinion on how to turn the impossible into grand challenges. Drug Discovery Today. Technologies, 15, 23-31. https://doi.org/10.1016/j.ddtec.2015.06.006[details]
2022
Mondeel, T. D. G. A. (2022). Waves, ChIPs, GEMMs, gears, markers and maps: Computational systems biology from cell cycle oscillations to metabolic fluxes. [details]
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