Large scale imputation of drug discovery data using deep learning
We presented a case study in which Alchemite was applied to a data set comprising approximately 700,000 compounds and 1,000…
AI-guided design of antimalarials with In vitro validation
In this webinar you can hear how a combination of generative chemistry and deep learning has impacted the design of…
Translational toxicology: data visualisation across phases
This webinar focused on the design of visualisation software for translational toxicology, with particular reference to the challenges that the many different sources of toxicology data pose.
Practical applications of deep learning to imputation of drug discovery data
In this webinar, we explore how the limitations of pharmaceutical data can impact conventional predictive model building. Our speakers, Julian Levell (Constellation pharmaceuticals), Ben Irwin and matt Segall (Optibrium) demonstrate how the deep learning imputation algorithm underlying our Cerella platform, overcomes these challenges.
pKa prediction using quantum mechanics and machine learning
The dissociation of a proton from a heteroatom has a significant influence on the charge distribution and interactions of a…
Chemical space navigation
In this webinar, presented by our guest, Dr. Franca Klingler from BioSolveIT, we learn how novel search algorithms have been…
Avoiding missed opportunities by analysing the sensitivity of our decisions
In this webinar we discussed how you can ensure that you don’t miss valuable opportunities due to the criteria used…
