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 modeling, it is also three times faster than random digital screening.

In this webinar, you will learn:

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