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Testing Antimicrobial Properties of Selected Short Amyloids.

Przemysław GagatAnna Duda-MadejMichał OstrówkaFilip PietluchAlicja SeniukPaweł MackiewiczBurdukiewicz Michał
Published in: International journal of molecular sciences (2023)
Amyloids and antimicrobial peptides (AMPs) have many similarities, e.g., both kill microorganisms by destroying their membranes, form aggregates, and modulate the innate immune system. Given these similarities and the fact that the antimicrobial properties of short amyloids have not yet been investigated, we chose a group of potentially antimicrobial short amyloids to verify their impact on bacterial and eukaryotic cells. We used AmpGram, a best-performing AMP classification model, and selected ten amyloids with the highest AMP probability for our experimental research. Our results indicate that four tested amyloids: VQIVCK, VCIVYK, KCWCFT, and GGYLLG, formed aggregates under the conditions routinely used to evaluate peptide antimicrobial properties, but none of the tested amyloids exhibited antimicrobial or cytotoxic properties. Accordingly, they should be included in the negative datasets to train the next-generation AMP prediction models, based on experimentally confirmed AMP and non-AMP sequences. In the article, we also emphasize the importance of reporting non-AMPs, given that only a handful of such sequences have been officially confirmed.
Keyphrases
  • protein kinase
  • staphylococcus aureus
  • immune response
  • machine learning
  • induced apoptosis
  • deep learning
  • oxidative stress
  • adverse drug
  • high speed
  • single cell