Mark Kudady
University College London (UCL)
Research:
My PhD project focuses on advancing the clinical application of PROTACs, which often suffer from suboptimal chemical properties. By utilising innovative Machine Learning and Deep Learning techniques, we aim to predict key pharmacokinetic properties of these degraders.
Additionally, this research integrates molecular dynamics simulations to analyse protein-drug and protein-protein interactions, enhancing the predictive capabilities of our toolbox. The software developed will optimize PROTACs according to user-defined criteria, such as permeability and bioavailability.
This project is supervised by Dr. David Shortshouse, Professor Charles Laughton, and Dr. Rob Sellar, and is funded by AstraZeneca, with guidance from Dr. Sam Nash, Dr. Magda Swedrowska, and Dr. Johan Ulander.
My academic journey started in Germany where I did my undergraduate in Pharmaceutical Sciences at LMU Munich. During my Bachelor’s I also decided to do a summer internship at the University of Derby investigating the natural history of HPV in the Marsh lab. Following my desire to solve cancer I joined UCL to do my Master’s in Cancer. As part of my Master’s project, I was pushing the limits of detecting ultra-low ctDNA samples with computational simulations supervised by Dr Simone Zaccaria. After graduating I combined the two aspects that I am interested in, PROTACs and cancer, joining the Sellar lab to work on new targets for AML.