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.
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.
Meet Jianlin “Jack” Cheng
Solving problems one protein at a time
Mizzou Engineering Recognizes Outstanding Faculty, Staff, Students
Mizzou Engineering has recognized faculty, staff and students for outstanding performance and dedication to the College. Winners were surprised today with virtual announcements and personal messages from interim Dean Noah Manring.
Protein Prediction Challenge Makes History – and Mizzou Engineers Rank in Top 10
Mizzou Engineering students took on tech giants at a worldwide competition last month and came home in the top 10 for devising a way to accurately predict protein structures. And in subcategories, Mizzou teams ranked in the top 3.