Mizzou Engineering Professor Jianlin Cheng is one of the best in the world at using AI to improve healthcare outcomes according to Deep Knowledge Analytics (DKA).
The DOE funded “Deep Green: Structural and Functional Genomic Characterization of Conserved Unannotated Green Lineage Proteins,” to the tune of $2.3 million over three years.
Mizzou Engineering Dean Elizabeth Loboa announced the selection of Jianlin Cheng as the College’s Faculty Fellow for Research and Strategic Initiatives.
Each year, Mizzou Engineering opens its doors to showcase the great work going on in its labs — work that has tremendous benefit and impact locally and globally.
Mizzou researchers are one of the first to expedite the graphene structure prediction process by applying the same principles that allow computers to learn by example.
Jianlin Cheng’s MULTICOM team finished third overall and first in predicting accuracy of protein structural models at the CASP13 competition in December.
This past spring, faculty representatives from the College of Engineering developed a Faculty Honors Program to adhere to the campus guidelines for awarding faculty fellowships and honors.
MU Electrical Engineering and Computer Science Professor Jianlin Cheng and Professor Amarda Shehu of George Mason University recently landed a three-year, $845,283 grant from the National Science Foundation to support their project, “Guiding Exploration of Protein Structure Spaces with Deep Learning.”
Knowing a protein’s structure structure is vitally important because the 3D structure of a protein defines its function, and greater, more accurate knowledge of these structures could help with breakthroughs in several key areas.