XtalPi and PhoreMost Sign Pharmaceutical Drug Discovery Collaboration Agreement

Using XtalPi's ID4 platform, the companies will discover drug candidates for "undruggable" targets
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Fundamentals of Solid Formulation

April 6, 13, 20, 27 | 11:00 AM – Noon EDT
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Building an AI-powered Drug R&D Engine

to empower pharmaceutical research with increased efficiency and success rate.
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AI Drug R&D Startup XtalPi Announces Over 300 Million Series C Investment

Led by SoftBank Vision Fund, PICC Capital, and Morningside
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How Quantum Physics and AI is Disrupting Drug Discovery & Development

Case study on how XtalPi is helping Pfizer scientists predict and optimize the crystalline forms of drug candidates.
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XtalPi and PhoreMost Sign Pharmaceutical Drug Discovery Collaboration Agreement

Using XtalPi's ID4 platform, the companies will discover drug candidates for "undruggable" targets
Learn More

Fundamentals of Solid Formulation

April 6, 13, 20, 27 | 11:00 AM – Noon EDT
Learn More

Drug Discovery

Combining AI and computational chemistry, we developed a series of innovative methods to address challenging drug discovery and design tasks, including molecular structure generation, binding affinity prediction, and key drug property predictions. Based on these AI-empowered capabilities, we are working with industry partners in the one-stop drug discovery of small molecules and macromolecule services, to improve research efficiency, reduce costs, and increase the overall success rate of innovative therapeutics in R&D.

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June 16, 2020-July 29, 2020
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Fierce Medtech names XtalPi as one of its “Fierce 15” Med Tech Companies of 2021

Named as one of the most promising private med-tech companies in the industry

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XtalPi and Signet Expand AI Drug Discovery Collaboration to Novel Cancer Target

Expanding the tried-and-true "AI drug discovery + novel organoid disease models" paradigm to new cancer drug pipeline collaboration

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Research Collaboration between XtalPi Inc and Acerand Therapeutics to develop potential novel anti-cancer therapies using High-precision Physics-based model and Machine Learning

The partnership will leverage XtalPi’s highly accurate physics-based models and machine learning models to develop potential novel chemical entities for a cancer target.