Dr. Adélaïde Raguin

Research Focus

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.

 

Most important publications

  1. Pfister B, Zeeman SC, Rugen MD, Field RA, Ebenhoh O, Raguin A (2020) Theoretical and experimental approaches to understand the biosynthesis of starch granules in a physiological context. Photosynth Res 145(1):55-70. doi: 10.1007/s11120-019-00704-y.
  2. 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 amino acid starvation response despite homeostatic maintenance of charged tRNA levels. Nucleic Acids Res 48(6):3071-3088. doi: 10.1093/nar/gkaa055.
  3. Raguin A, Kern N, Parmeggiani A (2020) Stochastic modelling of collective motor protein transport through a crossing of microtubules. J Theor Biol 505. doi: 10.1016/j.jtbi.2020.110370.
  4. Behle E, Raguin A (2021) Stochastic model of lignocellulosic material saccharification. PLoS Comput Biol 17(9):e1009262. doi: 10.1371/journal.pcbi.1009262.
  5. Raguin A, Stansfield I, Romano MC (2023) ExpressInHost: A codon tuning tool for the expression of recombinant proteins in host microorganisms. Journal of Open Research Software 11(2). doi: 10.5334/jors.385.
  6. Rousset Y, Ebenhoh O, Raguin A (2023) Stochastic modelling of a three-dimensional glycogen granule synthesis and impact of the branching enzyme. PLoS Comput Biol 19(5):e1010694. doi: 10.1371/journal.pcbi.1010694.
  7. De PS, Glass T, Stein M, Spitzlei T, Raguin A (2023) PREDIG: Web application to model and predict the enzymatic saccharification of plant cell wall. Comput Struct Biotechnol J 21:5463-5475. doi: 10.1016/j.csbj.2023.09.026.
  8. De PS, Theilmann J, Raguin A (2024) A detailed sensitivity analysis identifies the key factors influencing the enzymatic saccharification of lignocellulosic biomass. Comput Struct Biotechnol J 23:1005-1015. doi: 10.1016/j.csbj.2024.01.006.