Conditional generative modeling for de novo protein design with hierarchical functions

HIGHLIGHTS

  • who: ETH Library and collaborators from the Department of Biosystems Science and Engineering, Zuu0308rich, Basel, Switzerland, Visium, Lausanne, Switzerland and have published the article: Conditional generative modeling for de novo protein design with hierarchical functions, in the Journal: (JOURNAL)
  • what: The authors propose a general-purpose model for protein design that only requires specifying the desired functional properties for generation. The authors propose to use MMD (Gretton et_al, 2012), a test statistic that compares mean embeddings in a Reproducing Kernel Hilbert Space (RKHS). The authors explore several conditioning mechanisms, label embeddings and model architectures to . . .

     

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