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Combining MD with machine learning to explore cyclic peptides


About This PhD Project

Project Description

Academic supervisor: Prof Philip Biggin (DPhil in Biochemistry); IBM co-supervisor: Dr Flaviu Cipcigan

Many diseases cannot be drugged using current small molecule therapeutics and therefore new approaches are urgently needed. One such approach that shows promise is to use cyclic peptides. The aim of this project is to understand the conformational landscape of short cyclic peptides and devise design principles using machine learning for improving pharmacokinetic properties.

DPhil in Computational Discovery


The DPhil in Computational Discovery is a multidisciplinary programme spanning projects in Advanced Molecular Simulations, Machine Learning and Quantum Computing to develop new tools and methodologies for life sciences discovery.

This innovative course has been developed in close partnership between Oxford University and IBM Research. Each research project has been co-developed by Oxford academics working with IBM scientists. Students will have a named IBM supervisor/s and many opportunities for collaboration with IBM throughout the studentship.

Applicants who are offered places on the DPhil in Computational Discovery will be fully funded. As a minimum, the funding package will include fees at the Home/EU rate, and a stipend for UK students only at the standard Research Council rate (currently £15,009 pa) for the duration of fee liability (four years).

Applications must be received by 12 midday (UK time) on Friday 24 January 2020.

Further details of the projects and how to apply can be found here: https://www.ox.ac.uk/admissions/graduate/courses/dphil-computational-discovery?wssl=1

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