Postdoc: Unveiling the origin of chemical probing on RNA molecules using molecular modelling

Company:  SFBI
Location: Paris
Closing Date: 06/11/2024
Salary: £60 - £80 Per Annum
Type: Temporary
Job Requirements / Description
Postdoc: Unveiling the origin of chemical probing on RNA molecules using molecular modelling RNA GNN MD simulations, QM/MM calculations molecular modelling DescriptionContextThe research activities will be conducted in the MMVRT (Molecular Mechanism of viral RNA translation) team of CiTCoM (UMR CNRS 8038, Université Paris Cité), a multidisciplinary unit with expertise in molecular modelling, biochemistry, organic chemistry, structural biology, and microbiology. The position is part of the four-year project MAGENTA (Modelling RN A structures usin Gch Emical probi Ng da TA) funded by ANR (Agence National de la Recherche) in the JCJC scheme started in 2023. The objective of MAGENTA is twofold: first, to understand the chemical origin of biochemical reactivity (like SHAPE that stands for Selective 2’-Hydroxyl Acylation analyzed by Primer Extension) that provides essential information at the nucleotide level, and to unveil the complex relationship between measured reactivities, local geometry of RNA, and its environment for free RNA molecules; second, to integrate this information into a newly developed theoretical and computational framework, to bias and predict RNA structures. The project is conducted in close collaboration with the experimental colleagues in the team who are experts in biochemical probing.PositionThe postdoctoral researcher will be involved in the development of a new theoretical framework to determine 3D RNA structures. To do so, he/she will study the reactivity of several chemical probes with specific RNA molecules with the aim to understand the relationship between the structure, flexibility, local geometry of RNA and the biochemical reactivity of nucleotides. To do so, QM/MM calculations and alchemical free energy calculations will be performed in combination with more standard approaches. He/she will also be involved in the definition of a graph neural network to predict the reactivity.RequirementsApplicants must have a PhD (or are expected to defend their thesis in the next months) in Physics, Chemistry, Material Science, Computational Biology or related fields. Ideal candidates have experience in the molecular modelling of biomolecules. Experience in one or more of the following fields will be taken into account:Molecular dynamics simulations of nucleic acids (in particular RNA)QM/MM calculations to study reactivityDevelopment and/or application of enhanced sampling methodsDevelopment and/or application of methods to combine experimental data with molecular simulationsAlchemical free energy methodsMachine learning methodsStarting date: Ideally the position will start in January/February 2025CandidatureProcédure: Please contact the principal investigator ([email protected]) as soon as possible (possibly before December 1st, 2024) using “MAGENTA post-doc” as subject. Please include: your full Curriculum Vitae; a list of publications; a brief statement of your interest in our research; names and email addresses of at least two references. #J-18808-Ljbffr
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