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HomeWebinarsAI-Powered mPredict™ Co-Crystal Prediction Tool: Recent Advances and Experimental Validation

AI-Powered mPredict™ Co-Crystal Prediction Tool: Recent Advances and Experimental Validation

Webinar

In this webinar, you will learn:

  • How the mPredict™ service combines quantum chemistry and machine learning to generate ranked co-former reports from your API's SMILES input
  • What's new in mPredict™: improvements to model architecture, a refined library of 600+ carefully selected co-formers, and integrated toxicity estimation
  • How our experimental screening capabilities can take your project from in-silico prediction to lab-validated results 
  • Key findings from a real experimental case study: mPredict™ predictions tested and validated in the lab

Speakers

Daniel Bischof

Daniel Bischof

Merck

Associate Director

Daniel is a senior scientist at Merck, specializing in predictive formulation within the excipients product development group.

Axel Becker

Axel Becker

Merck

Associate Director

Axel is an associate director and heading the solid-state chemistry laboratory within Site Management Lab Services group at the Darmstadt headquarter site for 10 years. His team works on solid-state selection screenings as well as development and optimization of lab-scale based crystallization processes.