Published July 8, 2021 | Version v1

Machine learning designs non-hemolytic antimicrobial peptides

  • 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

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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

Swiss National Science Foundation
Chemical Space Design of Small Molecules and Peptides 200020_178998
European Commission
SPACE4AMPS - Chemical Space for Antimicrobials on a Peptide Basis 885076

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).