Paving the way for new treatments

Mizzou researcher Jianlin “Jack” Cheng debuts tool to build 3D structure of protein complexes, giving scientists insights to prevent and treat disease.

Mizzou Engineer lends protein prediction expertise to climate change studies at Danforth Plant Science Center

An inter-institutional research team is using the power of computational analysis to pinpoint which plant genes confer resilience against rising temperatures that threaten global food supplies in the coming decades. Mizzou Engineering Professor Jianlin “Jack” Cheng — one of the first scientists in the world to use deep learning, a powerful artificial intelligence technique, to predict protein structures — adds a unique perspective to the work. Since 2018, he’s been collaborating with Dr. Ru Zhang, a plant scientist at the Danforth Plant Science Center in St. Louis, to leverage computational tools in the study of plant genes.

Using AI to analyze large amounts of biological data

Researchers at the University of Missouri are applying a form of artificial intelligence (AI) — previously used to analyze how National Basketball Association (NBA) players move their bodies — to now help scientists develop new drug therapies for medical treatments targeting cancers and other diseases.

Engineer proposes deep learning system to speed drug development

A Mizzou Engineer has proposed a new deep learning system that would speed up drug development by more accurately predicting how drugs and proteins interact.

New protein prediction tool could accelerate biological discoveries

A Mizzou Engineering team has released new software that will allow computers to automatically predict protein interactions.