AI-guided design of antimalarials with in vitro validation

This webinar was presented by Ben Irwin and Matthew Segall (Optibrium) and Professor Matthew Todd (University College London).

In this webinar you can hear how a combination of generative chemistry and deep learning has impacted the design of new compounds in the search for novel antimalarials.

We were joined by our guest Professor Matthew Todd, Chair of Drug Discovery at University College London and founder of the Open Source Malaria initiative, which aims to find new medicines for the treatment of malaria, recognised by the World Health Organisation as one of the world’s deadliest diseases.

We described how Optibrium’s team deployed the in silico generative chemistry capabilities of StarDrop™ and the cutting-edge AI technologies of Augmented Chemistry™ in the Open Source Malaria (OSM) initiative, to design active compounds against a novel target in Plasmodium falciparum.