Deep learning opens up protein science’s next frontiers
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Computer models can now provide stunningly accurate predictions of proteins’ three-dimensional structures. But what about their biological functions?
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- Authors
- Miller, J. L.
- Corresponding author
- Miller, Johanna L.
- Venue
- Physics Today
- Publisher
- AIP Publishing
- Published
- 2021-10-01
- Volume
- 74
- Issue
- 10
- Pages
- 14-17
- ISSN
- 0031-9228 (ISSN-L)
- 1945-0699
- OpenAlex
- W3202403471
- Cited by
- 12
- References
- 13
- Citations by year
- 2024: 9 · 2022: 3
- FWCI
- 0.94
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Physics Today (publishedVersion, cc-by)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Machine Learning in Bioinformatics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Keywords
- protein function prediction, protein structure prediction, deep learning, protein science, biological function
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