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Mining for anti-infectious Molecules from Genomes

The Mining for anti-infectious Molecules from Genomes theme identifies undiscovered microbial sources with medical potential for new antibiotics and other beneficial drugs and investigates the use of antibody-based strategies against avian influenza.

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EZSpecificity combines extensive new enzyme-substrate docking data and a new machine learning algorithm to predict the best pairing for making a desired product, with up to 91.7% accuracy. Illinois professor Huimin Zhao led the study
Left image: First author of the study Xuenan Mi received an award in 2024 for her work on LassoESM. Right image: Professor Doug Mitchell, Professor Diwakar Shukla, and Susanna Barrett
Chemical and biomolecular engineering professor Huimin Zhao leads the new National Science Foundation iBioFoundry at the University of Illinois Urbana-Champaign. Photo by Michelle Hassel
Bioeconomy U: How Illinois is leading the bio-revolution
Graduate student Owen Ouyang, left, and professor Nicholas Wu found common features among antibodies that bind to the influenza antigen hemagglutinin, a key target for vaccine development. Photo by Michelle Hassel
The CABBI research team and the iBioFAB biofoundry at the Carl R. Woese Institute for Genomic Biology (IGB). Front row, Graduate Student Seth Croslow and Research Scientist Jia Dong. Back row, from left: Co-PIs Mathew Hudson, Jonathan Sweedler, Huimin Zhao and Biofoundry Manager Stephan Lane. Credit: Julie Wurth/CABBI