Accelerating materials discovery

Mizzou Engineers are partnering with Arizona State University, Brewer Science and the U.S. Army Corps of Engineers Engineer Research and Development Center (ERDC), to increase the efficiency of materials development by using artificial intelligence (AI) and machine learning (ML) to model and test new materials. Mizzou's research is supported by a $1.87 million grant, sponsored by Arizona State University.

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.

Jianlin “Jack” Cheng named 2023 AAAS Fellow

Jianlin “Jack” Cheng, a Curators’ Distinguished Professor in the College of Engineering and a NextGen Precision Health initiative researcher, was named a 2023 AAAS Fellow.

Elevating excellence for tomorrow’s innovators: Jianlin ‘Jack’ Cheng

Jianlin “Jack” Cheng, a Curators’ Distinguished Professor in the University of Missouri College of Engineering, is an expert in electrical engineering and computer science. At Mizzou, he’s passing on his knowledge and preparing the next generation to solve some of society’s most pressing issues through use of advanced technologies such as artificial intelligence (AI).

Jianlin ‘Jack’ Cheng named Curators’ Distinguished Professor

Jianlin “Jack” Cheng has been named a Curator’s Distinguished Professor, the highest honor bestowed by the University of Missouri System, for his groundbreaking work around artificial intelligence (AI)-based protein structure prediction.

Cheng developing software to predict protein function using generative AI

A Mizzou Engineer has received funding from the National Science Foundation to develop a tool that will predict how a protein functions based on its order of amino acids. Jianlin “Jack” Cheng envisions developing open source software that would allow a user to enter the sequence, then the system would predict not only how that string of amino acids will form into a structure but also the role it will carry out within a cell. Additionally, the system would pinpoint the specific site of the protein that carries out the function.

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.

Mizzou team ranks first in category at CASP15 protein prediction competition

A Mizzou Engineering team ranked within the top 10 in four different categories at an international protein prediction competition last month.

Cheng elected to American Institute for Medical and Biological Engineering College of Fellows

Jianlin “Jack” Cheng — William and Nancy Thompson Distinguished Professor in the Department of Electrical Engineering and Computer Science — has been elected to the American Institute for Medical and Biological Engineering (AIMBE) College of Fellows for his outstanding and pioneering contributions to developing machine learning for modeling protein and genome structures.

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.