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 post Summit Supercomputer, Deep Learning Power Protein Interaction Prediction appeared first on HPCwire.
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