Machine learning trims the peptide drug design process to a sweet spot.
Publication
, Journal Article
Markey, CE; Reker, D
Published in: Nature chemistry
September 2024
Duke Scholars
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Published In
Nature chemistry
DOI
EISSN
1755-4349
ISSN
1755-4330
Publication Date
September 2024
Volume
16
Issue
9
Start / End Page
1394 / 1395
Related Subject Headings
- Peptides
- Organic Chemistry
- Machine Learning
- Humans
- Drug Design
- 34 Chemical sciences
- 03 Chemical Sciences
Citation
APA
Chicago
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NLM
Markey, C. E., & Reker, D. (2024). Machine learning trims the peptide drug design process to a sweet spot. Nature Chemistry, 16(9), 1394–1395. https://doi.org/10.1038/s41557-024-01610-0
Markey, Chloe E., and Daniel Reker. “Machine learning trims the peptide drug design process to a sweet spot.” Nature Chemistry 16, no. 9 (September 2024): 1394–95. https://doi.org/10.1038/s41557-024-01610-0.
Markey CE, Reker D. Machine learning trims the peptide drug design process to a sweet spot. Nature chemistry. 2024 Sep;16(9):1394–5.
Markey, Chloe E., and Daniel Reker. “Machine learning trims the peptide drug design process to a sweet spot.” Nature Chemistry, vol. 16, no. 9, Sept. 2024, pp. 1394–95. Epmc, doi:10.1038/s41557-024-01610-0.
Markey CE, Reker D. Machine learning trims the peptide drug design process to a sweet spot. Nature chemistry. 2024 Sep;16(9):1394–1395.
Published In
Nature chemistry
DOI
EISSN
1755-4349
ISSN
1755-4330
Publication Date
September 2024
Volume
16
Issue
9
Start / End Page
1394 / 1395
Related Subject Headings
- Peptides
- Organic Chemistry
- Machine Learning
- Humans
- Drug Design
- 34 Chemical sciences
- 03 Chemical Sciences