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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Understanding protein interactions is key to innumerable fields — including, notably, drug design. Now, researchers from the Georgia Institute of Technology have developed a machine learning tool to predict interactions between multiple proteins, paving the way for easier identification of drug targets for antibiotics and therapeutics. The open-source, publicly available tool is called AF2Complex — short for AlphaFold 2 Complex, since the tool is built on top of London-based artificial intelligence lab DeepMind’s AlphaFold 2 protein structure prediction program. Jeffrey Skolnick, Regents' Professor and Mary and Maisie Gibson Chair in the School of Biological Sciences, and Mu Gao, senior research scientist, are co-authors of the study.
