Deep Learning for New Protein Design (IMAGE)

University of Texas at Austin

Deep Learning for New Protein Design

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Deep learning methods have been used to augment existing energy-based physical models in ‘do novo’ or from-scratch computational protein design, resulting in a 10-fold increase in success rates verified in the lab for binding a designed protein with its target protein. The results will help scientists design better drugs against diseases like cancer and COVID-19.

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DOI: 10.1038/s41467-023-38328-5

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