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RNA language models predict mutations that improve RNA function.

Autor: Shulgina Y; Innovative Genomics Institute, University of California, Berkeley, CA, USA.; Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA.; California Institute for Quantitative Biosciences, University of California, Berkeley, CA, USA., Trinidad MI; Innovative Genomics Institute, University of California, Berkeley, CA, USA.; Howard Hughes Medical Institute, University of California, Berkeley, CA, USA., Langeberg CJ; Innovative Genomics Institute, University of California, Berkeley, CA, USA.; Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA.; California Institute for Quantitative Biosciences, University of California, Berkeley, CA, USA., Nisonoff H; Center for Computational Biology, University of California, Berkeley, CA, United States., Chithrananda S; Innovative Genomics Institute, University of California, Berkeley, CA, USA.; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA., Skopintsev P; Innovative Genomics Institute, University of California, Berkeley, CA, USA.; California Institute for Quantitative Biosciences, University of California, Berkeley, CA, USA., Nissley AJ; Department of Chemistry, University of California, Berkeley, CA, USA., Patel J; Innovative Genomics Institute, University of California, Berkeley, CA, USA., Boger RS; Innovative Genomics Institute, University of California, Berkeley, CA, USA.; Biophysics Graduate Program, University of California, Berkeley, CA, USA., Shi H; Innovative Genomics Institute, University of California, Berkeley, CA, USA.; Howard Hughes Medical Institute, University of California, Berkeley, CA, USA., Yoon PH; Innovative Genomics Institute, University of California, Berkeley, CA, USA.; Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA.; Department of Chemistry, University of California, Berkeley, CA, USA., Doherty EE; Innovative Genomics Institute, University of California, Berkeley, CA, USA.; California Institute for Quantitative Biosciences, University of California, Berkeley, CA, USA., Pande T; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA., Iyer AM; Department of Physics, University of California, Berkeley, CA, USA., Doudna JA; Innovative Genomics Institute, University of California, Berkeley, CA, USA.; Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA.; California Institute for Quantitative Biosciences, University of California, Berkeley, CA, USA.; Howard Hughes Medical Institute, University of California, Berkeley, CA, USA.; Department of Chemistry, University of California, Berkeley, CA, USA.; MBIB Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.; Gladstone Institutes, University of California, San Francisco, CA, USA., Cate JHD; Innovative Genomics Institute, University of California, Berkeley, CA, USA.; Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA.; California Institute for Quantitative Biosciences, University of California, Berkeley, CA, USA.; Department of Chemistry, University of California, Berkeley, CA, USA.; MBIB Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.

Publikováno v: BioRxiv : the preprint server for biology [bioRxiv] 2024 Sep 16. Date of Electronic Publication: 2024 Sep 16.