[HTML][HTML] Generative artificial intelligence for de novo protein design

A Winnifrith, C Outeiral, BL Hie - Current Opinion in Structural Biology, 2024 - Elsevier
Engineering new molecules with desirable functions and properties has the potential to
extend our ability to engineer proteins beyond what nature has so far evolved. Advances in …

Generative artificial intelligence for de novo protein design

A Winnifrith, C Outeiral, B Hie - arXiv preprint arXiv:2310.09685, 2023 - arxiv.org
Engineering new molecules with desirable functions and properties has the potential to
extend our ability to engineer proteins beyond what nature has so far evolved. Advances in …

Generative artificial intelligence for de novo protein design

A Winnifrith, C Outeiral, B Hie - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Engineering new molecules with desirable functions and properties has the potential to
extend our ability to engineer proteins beyond what nature has so far evolved. Advances in …

Generative artificial intelligence for de novo protein design

A Winnifrith, C Outeiral, BL Hie - Current opinion in structural … - pubmed.ncbi.nlm.nih.gov
Engineering new molecules with desirable functions and properties has the potential to
extend our ability to engineer proteins beyond what nature has so far evolved. Advances in …

Generative artificial intelligence for de novo protein design.

A Winnifrith, C Outeiral, BL Hie - Current Opinion in Structural …, 2024 - europepmc.org
Engineering new molecules with desirable functions and properties has the potential to
extend our ability to engineer proteins beyond what nature has so far evolved. Advances in …