Amino acid descriptor-based computational models predicted anti-herpes activity of lactoferricin analogs, enabling rational design of more potent antiviral peptide variants without exhaustive synthesis.
Key findingQSAR modeling using amino acid descriptors predicted anti-HSV activity of lactoferricin analogs, identifying structural features correlated with antiv
What the researchers found
QSAR modeling using amino acid descriptors predicted anti-HSV activity of lactoferricin analogs, identifying structural features correlated with antiviral potency and enabling computational design of optimized anti-herpes peptides.
Why it matters
Relevant for antimicrobial-peptides, infection, peptide-design.
How the study worked
in-vitro study on antimicrobial-peptides, infection.
What this study cannot tell us
See abstract.
How to read the evidence
preliminary evidence.
When this study was published
Published in 2005.
The bigger picture
Advances peptide research with clinical implications.
Questions still open
- Further research needed.
- Clinical translation to evaluate.
Common questions
What was studied?
What was found?
Read the original research
Modelling of anti-HSV activity of lactoferricin analogues using amino acid descriptors.
Journal of peptide science : an official publication of the European Peptide Society, 11(2), 97-103
Citation
Jenssen, Håvard; Gutteberg, Tore J; Lejon, Tore. (2005). Modelling of anti-HSV activity of lactoferricin analogues using amino acid descriptors.. Journal of peptide science : an official publication of the European Peptide Society, 11(2), 97-103.