Lewis Palmer

Profile

Project Title: 

Prioritising drug targets in non-canonical pathways from multi-omic data using AI-based approaches

Summary: 

The drug discovery process is costly and time-consuming, while also suffering from high rates of attrition. Failure of drugs to pass stringent clinical trial criteria is often caused by safety concerns or lack of greater efficacy than established therapies. This project seeks to leverage the wealth of publicly available data to discover novel drug targets, while also prioritising those least likely to have off-target effects or lack sufficient efficacy. This will be achieved by combining elements of systems and structural biology with state-of-the-art machine learning techniques.

Supervisor:

• Prof Conrad Bessant

Research