We develop computational biophysics approaches to investigate the dynamics of distinct mesoscopic biological systems, with a focus on large and complex molecules. Within CEPLAS, we study the synthesis and degradation of plant polysaccharides (i.e. starch and plant cell wall material) and the interplay between their complex three-dimensional structure and the underlying enzymatic processes. We also investigate the biochemical mechanisms of protein synthesis regulation under controlled stress conditions. Our research is highly interdisciplinary, and aims at supporting the interpretation of quantitative experimental data by comparison to our theoretical results.
- Behle E, Raguin A (2021) Stochastic model of lignocellulosic material saccharification. PLOS Computational Biology. doi.org/10.1371/journal.pcbi.1009262
- Raguin A, Kern N, Parmeggiani A (2020) Stochastic modelling of collective motor protein transport through a crossing of microtubules. J Theor Biol. doi: 10.1016/j.jtbi.2020.110370 (also available via arxiv.org/abs/2006.10416)
- Pfister B, Zeeman SC, Rugen MD, Field RA, Ebenhöh O, Raguin A (2020) Theoretical and experimental approaches to understand the biosynthesis of starch granules in a physiological context. Photosynth Res. doi: 10.1007/s11120-019-00704-y.
- McFarland MR, Keller CD, Childers BM, Adeniyi SA, Corrigall H, Raguin A, Romano MC, Stansfield I (2020) The molecular aetiology of tRNA synthetase depletion: induction of a GCN4 amino acid starvation response despite homeostatic maintenance of charged tRNA levels. Nucleic Acids Res. doi: 10.1093/nar/gkaa055.
- Raguin A, Ebenhöh O (2017) Design starch: stochastic modeling of starch granule biogenesis. Biochem Soc Trans 45(4):885-893. doi: 10.1042/BST20160407.
Dr. Adélaïde Raguin
Institute for Computational Cell Biology, Heinrich Heine University Düsseldorf