We are young and dynamic research group based at the University of Edinburgh in the School of Chemistry that forms part of EaSt Chem. The research looks at combining data intensive simulation approaches with machine learning to understand protein function and inhibition better, with a particular focus on antimicrobial resistance.
We are looking for more people to join the group!
Otherwise, for more information and other opportunities on how to join take a look here!
We are grateful for funding from Royal Society of Chemistry for the Outreach project Chemistry in Focus.
New print from work done by Robert Arbon and Ryan Zhu: Markov State Models: to optimize or not to optimize01/09/2023
Welcome to the group Emma Tomlinson, on a joint project with David Michieletto18/08/2023
Congratulations Matthew for passing your PhD viva!03/08/2023
Congratulations Rohan for submitting your first paper SILVR: Guided Diccusion for Molecule Generation19/04/2023
Marco Mattia is starting his PhD in the group. Welcome Marco!08/03/2023
The paper on: Efficient Purification of Cowpea Chlorotic Mottle Virus by a Novel Peptide Aptamer is now published in Viruses22/02/23
Antonia becomes a co-opted member of the Faraday Community