Development of machine learning methods to redesign protein dynamics
Protein function is often coupled with conformational changes. This project is aimed at developing machine learning methods to inform protein design. The student will be required to design, develop and implement software solutions to guide the selection of mutations for rational design of protein dynamics in a series of bacterial proteins. The student will be a member of the Computational Design Lab and of the Synthetic Biology Theme. Requirements: 1. BSc and/or MSc degree in computer science, computational biology, computational chemistry or bioinformatics. 2. Background in biomolecular simulations, software development in Python and Linux/UNIX.
This is a self funded project
Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: https://www.brunel.ac.uk/research/Research-degrees/Research-degree-funding. Recently the UK Government made available the Doctoral Student Loans of up to £25,000 for UK and EU students and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.)