Artificial Intelligence-based Screening and Selection of Co-formers for Co-crystallization

WEBINAR

70% of APIs under development are poorly water soluble, which increases the risk of them failing during formulation. Co-crystallization is a rapidly growing technique used to tackle solubility challenges. However, it is challenging and resource intensive to find new co-crystals experimentally.

In recent years, several approaches have been developed to screen for co-crystals computationally. We developed mPredict™, a co-crystal prediction tool with quantum chemistry, statistical thermodynamics, and AI. It predicts co-crystal formation and, hence, optimal co-formers for your API. Besides being a strong improvement over physical modelling, it is also three times faster than random digital screening.

In this webinar, you will learn about:

• why co-crystallization is rapidly growing as a technique to tackle solubility challenges
• the challenges of co-crystallization and ways to overcome them
• the key technical considerations to build a co-former screening tool
• the advantages of using our cutting edge mPredict™ co-crystal prediction service