New Results
Generation of photocaged nanobodies for in vivo applications using genetic code expansion and computationally guided protein engineering
Jack M. O’Shea, Angeliki Goutou, Cyrus Sethna, Christopher W. Wood, Sebastian Greiss
doi: https://doi.org/10.1101/2021.04.16.440193
Jack M. O’Shea
1Centre for Discovery Brain Sciences, University of Edinburgh, UK
Angeliki Goutou
1Centre for Discovery Brain Sciences, University of Edinburgh, UK
Cyrus Sethna
1Centre for Discovery Brain Sciences, University of Edinburgh, UK
Christopher W. Wood
2Institute of Quantitative Biology, Biochemistry and Biotechnology, University of Edinburgh, UK
Sebastian Greiss
1Centre for Discovery Brain Sciences, University of Edinburgh, UK

Article usage
Posted April 17, 2021.
Generation of photocaged nanobodies for in vivo applications using genetic code expansion and computationally guided protein engineering
Jack M. O’Shea, Angeliki Goutou, Cyrus Sethna, Christopher W. Wood, Sebastian Greiss
bioRxiv 2021.04.16.440193; doi: https://doi.org/10.1101/2021.04.16.440193
Subject Area
Subject Areas
- Biochemistry (13924)
- Bioengineering (10604)
- Bioinformatics (33730)
- Biophysics (17365)
- Cancer Biology (14451)
- Cell Biology (20441)
- Clinical Trials (138)
- Developmental Biology (11014)
- Ecology (16257)
- Epidemiology (2067)
- Evolutionary Biology (20569)
- Genetics (13538)
- Genomics (18851)
- Immunology (13985)
- Microbiology (32634)
- Molecular Biology (13585)
- Neuroscience (71129)
- Paleontology (533)
- Pathology (2228)
- Pharmacology and Toxicology (3788)
- Physiology (5979)
- Plant Biology (12185)
- Synthetic Biology (3410)
- Systems Biology (8265)
- Zoology (1879)