PhD Scholarship Opportunity: CRCN, France

Postdoc in France

PhD Scholarship Opportunity: Reshaping the paradigm of pharmacological research is an important need as a significant part of intra- and inter-individual variabilities of drug response remains elusive. The drug journey within the human body is usually described following the absorption, distribution, metabolism and excretion (ADME) paradigm. The present PhD project will focus on the elucidation of potential transporter-mediated drug-drug (DDI) and drug-metabolite interactions (DMI) by means of MD and structural models, with a focus on membrane transporters of emerging clinical and pharmacological interests.

Deciphering the membrane transport cooperation and/or competition between xenobiotics and endogenous metabolites at nanoscale

Keywords: Molecular Modelling — Molecular Dynamics — Membrane transporters — Pharmacology

Contacts: Florent Di Meo (florent.di-meo@inserm.fr) & Gabin Fabre (gabin.fabre@unilim.fr)

Summary:

Summary Table:

| Title | Deciphering membrane transport cooperation/competition | | Keywords | Molecular Modelling, Molecular Dynamics, Membrane transporters, Pharmacology | | Contacts | Florent Di Meo (florent.di-meo@inserm.fr), Gabin Fabre (gabin.fabre@unilim.fr) |

Study Area:

The PhD student will focus on a limited number of ABC and SLC transporters (MRP2, MRP4, OCT2, OAT1, and OATP1B1) to decipher their structural dynamics, functions, and interactions with xenobiotics and endogenous metabolites.

Scholarship Description:

The project aims to develop atomic-based in silico pharmacological models of membrane transporters, providing a comprehensive structural understanding of transporter dynamics and DDI/DMI to support experiments within the host unit. It includes multiscale structural models, a computational pipeline for substrate/inhibitor interactions, and insights into the competition between xenobiotics and endogenous metabolites.

Eligibility:

  • Hold a Master’s degree in chemistry, biochemistry, biophysics, or a related field.
  • Experience in molecular modeling, with MD simulations considered a strong advantage.
  • Basic scripting skills required; proficiency in Python considered a strong advantage.
  • Background in physical chemistry considered an advantage.
  • Knowledge in machine learning considered a strong advantage.
  • Good oral and written communication skills in English recommended.

Required Documents:

Applicants must submit a resume, a cover letter, and preferably one recommendation letter from Master training.

How to Apply:

Send applications to florent.di-meo@inserm.ir and gabin.fabre@unilim.fr before April 30th. Up to three applicants will be selected to defend their projects to the PhD school selection committee on June 17th or 18th.

Last Date:

Final decisions on funding will be notified on June 27th.

LEAVE A REPLY

Please enter your comment!
Please enter your name here