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University of Illinois Urbana-Champaign

Mining for anti-infectious Molecules from Genomes

Ag + Energy

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Health + Wellness

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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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Featured Stories

Stephen Long, Stanley O. Ikenberry Endowed Chair Emeritus (deceased)
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Illinois researcher Diwaker Shukla shows how deep learning and large-scale computer simulations can help lead the search for safe synthetic cannabinoid-based pharmaceuticals. Photo by Fred Zwicky
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Twelve Illinois scientists rank among world's most influential
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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
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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
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Learning the language of lasso peptides to improve peptide engineering
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