XtalPi and Pfizer Expand Strategic Collaboration to Advance AI-Driven Drug Discovery and Materials Science Simulations
In a joint research paper published in 2024, XtalPi and Pfizer unveiled the development and validation of the first-generation of XtalPi Force Field (XFF), which demonstrated superior performance in predicting small molecules geometry at molecular quantum mechanics (QM) level, as well as accurate Free Energy Perturbation (FEP) calculations for binding affinity predictions. These capabilities are critical for computing and predicting small molecules' key properties such as efficacy and selectivity, enabling more precise drug screening and rational design.
Under this expansion of their collaboration, the two teams will focus on developing more accurate predictive models to Pfizer's proprietary chemical space, with the aim of further empowering small molecule drug discovery and development across a broader range of research applications. In the collaboration, XtalPi will deploy its XFEP platform, from parameter customization to FEP calculations, for Pfizer to use in its drug discovery efforts. With the goals of improved accuracy, high-throughput speed, and user-friendly interface, the platform will be designed to support Pfizer scientists across diverse drug design and development scenarios.
"Pfizer's leadership in pharmaceutical innovation and their deep scientific expertise have been invaluable in shaping the evolution of our AI-driven platform," said Dr. Jian Ma, CEO of XtalPi. "This collaboration demonstrates the transformative potential of XtalPi's computational platform combining physics-based insights with advanced AI technology, and propels us to develop even more powerful predictive tools. Together, we are building up a new platform for drug discovery, potentially unlocking possibilities that were once out of reach and accelerating the delivery of life-changing therapies for patients worldwide."
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