|
|
| Line 1: |
Line 1: |
| ==Hallucinated proteins== | | ==Hallucinated proteins== |
| <!-- <StructureSection load='1stp' size='340' side='right' caption='Caption for this structure' scene=''> -->
| | <StructureSection load='8cyk' size='340' side='right' caption='' scene=''> |
| Hallucinated proteins are <i>de novo</i> sequences generated by AI platforms.<ref>PMID 34853475</ref><ref>PMID 35348602</ref><ref>PMID: 36108048</ref> | | Hallucinated proteins are <i>de novo</i> sequences generated by AI platforms.<ref>PMID 34853475</ref><ref>PMID 35348602</ref><ref>PMID: 36108048</ref> |
| <!-- </StructureSection> -->
| | </StructureSection> |
| == References == | | == References == |
| <references/> | | <references/> |
| [[:Category: Hallucinated protein]] | | [[:Category: Hallucinated protein]] |
Revision as of 08:21, 26 February 2023
Hallucinated proteins
| Hallucinated proteins are de novo sequences generated by AI platforms.[1][2][3]
- ↑ Anishchenko I, Pellock SJ, Chidyausiku TM, Ramelot TA, Ovchinnikov S, Hao J, Bafna K, Norn C, Kang A, Bera AK, DiMaio F, Carter L, Chow CM, Montelione GT, Baker D. De novo protein design by deep network hallucination. Nature. 2021 Dec 1. pii: 10.1038/s41586-021-04184-w. doi:, 10.1038/s41586-021-04184-w. PMID:34853475 doi:https://dx.doi.org/10.1038/s41586-021-04184-w
- ↑ Wenze Ding, Kenta Nakai, Haipeng Gong, Protein design via deep learning, Briefings in Bioinformatics, Volume 23, Issue 3, May 2022, bbac102 doi:https://dx.doi.org/doi.org/10.1093/bib/bbac102
- ↑ Wicky BIM, Milles LF, Courbet A, Ragotte RJ, Dauparas J, Kinfu E, Tipps S, Kibler RD, Baek M, DiMaio F, Li X, Carter L, Kang A, Nguyen H, Bera AK, Baker D. Hallucinating symmetric protein assemblies. Science. 2022 Sep 15:eadd1964. doi: 10.1126/science.add1964. PMID:36108048 doi:https://dx.doi.org/10.1126/science.add1964
|
References
Category: Hallucinated protein
