Machine learning tool simplifies one of the most widely used reactions in the pharmaceutical industry

Illinois researchers and chemists at Hoffman La-Roche have developed a machine learning tool that predicts the best conditions for a high-yielding carbon-nitrogen bond forming reaction, accelerating the process and reducing the need for time-consuming experimentation in the pharmaceutical industry.

phys.org

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9/4/2023

Machine learning for chemistry: Basics and applications

A review published in Engineering explores the potential of machine learning (ML) in revolutionizing chemical research, providing insights into popular ML algorithms and their applications in chemistry.

9/15/2023

MIT Lab Uses Inspiration from Nature and Automation to Revolutionize Therapeutics Discovery

Professor Brad Pentelute and the Pentelute Lab at MIT are using a combination of chemistry, biology, and engineering to develop new techniques and platforms that have the potential to revolutionize therapeutics, including using nature-inspired research to solve protein delivery problems and building an automated protein printing machine. They are also using machine learning and automation to discover new peptides and proteins that can be used in cancer treatment and other applications, with the goal of rapidly designing molecules with new functions and advancing the field of AI-driven molecule design.