Novel Kinetic Models To Decipher GPCR Binding Mechanisms
Eligibility: UK/International (including EU) graduates with the required entry requirements
Duration: Full-Time – between three and three and a half years fixed term
Application deadline: 27th May 2026
Interview date: Will be confirmed to shortlisted candidates
Start date: September 2026
For further details contact: Giuseppe Deganutti
Introduction
Understanding how GPCRs couple to G proteins or β‑arrestins requires mapping their complete binding pathways. In this view, selectivity results from how quickly and effectively these early, transient complexes form. A similar approach can be used for GPCR–β‑arrestin interactions: by simulating their entire binding process under different conditions, it becomes possible to identify the dynamic factors that influence β‑arrestin recruitment.
Project details
Predictions from simulations will be validated experimentally through mutagenesis, functional assays, and BRET/FRET‑based techniques performed by established collaborators. This project is timely due to the availability of high‑resolution active and inactive GPCR, G‑protein, and β‑arrestin structures, improved GPU performance for molecular dynamics simulations, and powerful toolkits for studying signalling experimentally.
Funding
Tuition fees and bursary
Benefits
The successful candidate will receive comprehensive research training including technical, personal and professional skills. All researchers at Coventry University (from PhD to Professor) are part of the Doctoral and Researcher College which provides support with high-quality training and career development activities.
Entry requirements
- A minimum of a 2:1 first degree in a relevant discipline/subject area with a minimum 60% mark in the project element or equivalent with a minimum 60% overall module average.
PLUS
- The potential to engage in innovative research and to complete the PhD within 3.5 years.
- A minimum of English language proficiency (IELTS academic overall minimum score of 7.0 with a minimum of 6.5 in each component).
Additional Requirements
Previous experience in computational biology, computational chemistry, or computer science is advantageous and will help the candidate engage quickly with the project’s modelling and simulation components.
Having contributed to scientific publications, whether through data analysis, method development, or writing, is also considered a plus, as it demonstrates familiarity with research workflows and scientific communication.
How to apply
To find out more about the project, please contact Giuseppe Deganutti
All applications require full supporting documentation, a covering letter, plus a 2000-word supporting statement showing how the applicant’s expertise and interests are relevant to the project.
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