Staff profile

George completed his Master of Chemistry (MChem) at Durham University (2023). George is part of the NLD DTP3 program and is co-supervised by Prof. Martin Cann (Department of Biosciences) and Dr. Matteo Degiacomi (Department of Physics). 

Research

George’s research is titled “A Machine Learning Approach to Identify Carbon Dioxide-Binding Proteins for Sustainability and Health”. Carbon dioxide has a fundamental role in biological processes throughout the biosphere. While a huge amount is known about the impact of the gas in physiology, little is known about CO₂ targets on proteins. This research aims to build on previous work which used triethyloxonium ions to trap carbamates on proteins enabling their identification by tandem mass spectroscopy.  A machine-learning approach will be produced (called the Global Carbamate Predictor, GCarP) which aims to predict CO₂-binding sites on proteins by using information about the lysine structure, dynamics and the local environment.