Predicting adenine base editing efficiencies in different cellular contexts by deep learning.
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| Title: | Predicting adenine base editing efficiencies in different cellular contexts by deep learning. |
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| Authors: | Kissling L; Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland., Mollaysa A; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland., Janjuha S; Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland., Mathis N; Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland., Marquart KF; Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland.; Institute of Molecular Health Sciences, ETH Zurich, Zurich, Switzerland., Weber Y; Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland., Moon WJ; Acuitas Therapeutics Inc., Vancouver, BC, Canada., Lin PJC; Acuitas Therapeutics Inc., Vancouver, BC, Canada., Fan SHY; Acuitas Therapeutics Inc., Vancouver, BC, Canada., Muramatsu H; Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Vadovics M; Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Allam A; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland., Pardi N; Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Tam YK; Acuitas Therapeutics Inc., Vancouver, BC, Canada., Krauthammer M; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland. michael.krauthammer@uzh.ch., Schwank G; Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland. schwank@pharma.uzh.ch. |
| Source: | Genome biology [Genome Biol] 2025 May 08; Vol. 26 (1), pp. 115. Date of Electronic Publication: 2025 May 08. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 100960660 Publication Model: Electronic Cited Medium: Internet ISSN: 1474-760X (Electronic) Linking ISSN: 14747596 NLM ISO Abbreviation: Genome Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1474-760X |
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| DOI: | 10.1186/s13059-025-03586-7 |
