XtalPi Inc. has introduced XtalGazer, a groundbreaking platform employing artificial intelligence and robotics to transform the polymorph selection phase in drug development, promising to enhance the efficiency, safety, and efficacy of pharmaceuticals.
In a significant advancement for the pharmaceutical industry, XtalPi Inc., a pioneer in merging the fields of artificial intelligence (AI) and robotics with pharmaceutical development and material innovation, has announced the launch of XtalGazer, a state-of-the-art platform designed to revolutionize the way polymorphs are selected during drug development. With its roots deeply embedded in Cambridge, Massachusetts, XtalPi continues to make strides in harnessing the power of technology to streamline and enhance the efficiency of drug discovery and development processes.
XtalGazer emerges as a comprehensive solution tailored to address the critical phase of polymorph selection in drug development. This phase is indispensable for defining the properties of a drug, such as its stability, solubility, and bioavailability, which are crucial for its safety and efficacy. Traditionally, this process has been notoriously challenging, often resembling a laborious game of trial and error, where identifying the optimal polymorph can be both time-consuming and resource-intensive. XtalGazer aims to transform this process by adopting a data-driven, design-led approach that leverages the capabilities of AI and automation.
At the heart of XtalGazer is XtalCSP, a crystal structure prediction platform that represents a leap forward in identifying potential stable forms of molecules. By conducting a global search of crystal structures for target molecules, XtalCSP equips researchers with deep insights into the polymorphic landscape of a compound, thus facilitating informed decision-making. This is complemented by an AI-powered experimental design component that offers crystallization strategy recommendations, helping to mitigate human bias and streamline the polymorph selection process.
One of the platform’s notable technological innovations is its use of MicroED, a technique that enables rapid elucidation of crystal structures directly from powder samples. This eliminates the need to grow single crystals, a process that can be both arduous and unpredictable, thereby significantly reducing the time and material requirements for polymorph screening.
XtalPi’s journey began in 2015 on the Massachusetts Institute of Technology (MIT) campus, where it was founded with a vision to drive intelligent and digital transformation across the life sciences and new materials industries. By integrating quantum physics, AI, cloud computing, and an expansive array of automated robotic systems, XtalPi has positioned itself at the forefront of technological innovation, offering a gamut of solutions and services designed to bolster the R&D capabilities of biopharmaceutical and new materials companies around the globe.
The launch of XtalGazer is emblematic of XtalPi’s commitment to addressing some of the most pressing challenges faced by the pharmaceutical industry. By providing a comprehensive suite of tools for accelerated polymorph discovery, characterization, and selection, XtalGazer not only promises to shorten drug development cycles but also to enhance the overall quality and safety of pharmaceutical products. In doing so, XtalPi continues to contribute significantly to the advancement of drug discovery and development, ensuring that new, life-saving medicines can be brought to market more efficiently and effectively than ever before.
For those interested in learning more about XtalPi and its innovative solutions, further information can be found on the company’s website.