Machine learning designs non-hemolytic antimicrobial peptides
Published inChemical science, vol. 12, no. 26, p. 9221-9232
Publication date2021-07-07
First online date2021-06-07
Abstract
Research group
Funding
- Swiss National Science Foundation - Chemical Space Design of Small Molecules and Peptides [200020_178998]
- Swiss National Science Foundation - Antimicrobial peptide dendrimers (AMPD) and bicyclic peptides (AMBP) as therapeutic agents against multidrug resistant bacteria [407240_167048]
- European Commission - Chemical Space for Antimicrobials on a Peptide Basis [885076]
Citation (ISO format)
CAPECCHI, Alice et al. Machine learning designs non-hemolytic antimicrobial peptides. In: Chemical science, 2021, vol. 12, n° 26, p. 9221–9232. doi: 10.1039/d1sc01713f
Main files (1)
Article (Published version)
Secondary files (1)
Identifiers
- PID : unige:163179
- DOI : 10.1039/d1sc01713f
- PMID : 34349895
- PMCID : PMC8285431
ISSN of the journal2041-6520