Month: March 2021
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A deep learning approach to protein design
Scientists at the IPD and Ovchinnikov lab at Harvard have applied deep learning to the challenge of protein design, yielding a new way to quickly create protein sequences that fold up as desired. This breakthrough has broad implications for the development of protein-based medicines and vaccines. Computational protein design has primarily focused on finding amino…
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trRosetta yields structures for every protein family
The field of protein structure prediction has greatly advanced in recent years thanks to increasingly accurate deep-learning methods. A new such method, called trRosetta developed at the Institute for Protein Design, has now made thousands of protein structures available via EMBL-EBI’s Pfam and InterPro data resource. More than 6300 protein structures have been predicted in this way and are…