In this webinar, we present a flexible and intuitive framework in which similarity relationships can be interactively navigated to quickly interpret the results, identify important structure-activity relationships (SAR) and use that SAR in new compound design.
Learn how advances in informatics technology are inspiring a new generation of innovative products that streamline and enhance the efficiency and productivity of drug discovery software.
Pharmacokinetics (PK) describes how the body affects a drug after administration. The concentration-time profile of a compound reflects its exposure,…
In this webinar we demonstrated how this new platform provides interactive access to deep learning imputation to extract more value…
This webinar describes example applications of multi-parameter optimisation to find high-quality lead compounds.
We presented a case study in which Alchemite was applied to a data set comprising approximately 700,000 compounds and 1,000…
In this webinar you can hear how a combination of generative chemistry and deep learning has impacted the design of…
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.
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.
The dissociation of a proton from a heteroatom has a significant influence on the charge distribution and interactions of a…
In this webinar, presented by our guest, Dr. Franca Klingler from BioSolveIT, we learn how novel search algorithms have been…
In this webinar we discussed how you can ensure that you don’t miss valuable opportunities due to the criteria used…
