Published July 8, 2021
| Version v1
Dataset
Open
Machine learning designs non-hemolytic antimicrobial peptides
Authors/Creators
- 1. a Department of Chemistry, Biochemistry and Pharmaceutical Sciences, University of Bern, Switzerland
- 2. Department of Microbiology and Molecular Medicine, University of Geneva, Switzerland; Service of Infectious Diseases, University Hospital of Geneva, Geneva, Switzerland
Description
The upload contains additional primary data associated with the publication, including raw data in the original file format whenever possible.
Data content: HRMS, HPLC-MS, CD, MD, TEM
Files
ReadMe.txt
Files
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Additional details
Related works
- Is supplement to
- Journal article: 33024236 (PMID)
- Is supplemented by
- Journal article: 10.1039/D1SC01713F (DOI)
Funding
References
- Capecchi, Alice, Xingguang Cai, Hippolyte Personne, Thilo Kohler, Christian van Delden, and Jean-Louis Reymond. "Machine Learning Designs Non-Hemolytic Antimicrobial Peptides." Chemical Science (2021).