AI-Based Prediction of Protein Corona Composition on DNA Nanostructures
University of California, Berkeley · University of California System · +4 more institutions
Abstract
DNA nanotechnology has emerged as a powerful approach to engineering biophysical tools, therapeutics, and diagnostics because it enables the construction of designer nanoscale structures with high programmability. Based on DNA base pairing rules, nanostructure size, shape, surface functionality, and structural reconfiguration can be programmed with a degree of spatial, temporal, and energetic precision that is difficult to achieve with other methods. However, the properties and structure of DNA constructs are greatly altered in vivo due to spontaneous protein adsorption from biofluids. These adsorbed proteins, referred to as the protein corona, remain challenging to control or predict, and subsequently, their…
Citation impact
- FWCI
- 26.79
- Percentile
- 100%
- References
- 76
Authors
4- JHJared Huzar
University of California, Berkeley
- RCRoxana Coreas
University of California System, University of California, Berkeley
- MPMarkita P. Landry
QB3, University of California System, Quantitative BioSciences, Innovative Genomics Institute, Chan Zuckerberg Initiative (United States), University of California, Berkeley
- GTGrigory TikhomirovCorresponding
University of California, Berkeley
Topics & keywords
- Nanostructure
- Nanotechnology
- DNA
- DNA origami
- DNA nanotechnology
- Materials science
- Biophysics
- Computational biology
Funding
- HWHelen Wills Neuroscience Institute, University of California Berkeley
- NSNational Science FoundationAwards: 2346048, 1733575, 2305663, CAREER, 2046159, 2240000
- BWBurroughs Wellcome Fund
- APAlfred P. Sloan Foundation
- SFSimons Foundation
- GAGordon and Betty Moore Foundation
- CACamille and Henry Dreyfus Foundation
- MFMcKnight Foundation
- UOUniversity of California Berkeley
- PFPhilomathia Foundation
- NINational Institutes of Health
- UOUniversity of California, San Diego
- DODivision of Chemical, Bioengineering, Environmental, and Transport SystemsAwards: 2046159, 1733575
- DODivision of Civil, Mechanical and Manufacturing InnovationAward: 2240000
- TITranslational ImpactsAward: 2346048
- BFBRAIN Foundation