Disclosed are methods for computationally identifying candidate antimicrobial peptides by scanning the human proteome, ranking identified sequences according to a scoring system in order to identify the candidate sequences. Also provided are novel candidate antimicrobial peptides, as well as combinations of peptides that exhibit synergistic antimicrobial properties.

Hidden antibiotics in the human proteome / Crescenzi, Orlando; Notomista, Eugenio; DE LA FUNETE-NUNEZ, César; DER TOROSSIAN TORRES, Marcelo; CARDOSO DOS REIS MELO, Marcelo. - (2022).

Hidden antibiotics in the human proteome

Orlando CRESCENZI;Eugenio NOTOMISTA;
2022

Abstract

Disclosed are methods for computationally identifying candidate antimicrobial peptides by scanning the human proteome, ranking identified sequences according to a scoring system in order to identify the candidate sequences. Also provided are novel candidate antimicrobial peptides, as well as combinations of peptides that exhibit synergistic antimicrobial properties.
2022
Hidden antibiotics in the human proteome / Crescenzi, Orlando; Notomista, Eugenio; DE LA FUNETE-NUNEZ, César; DER TOROSSIAN TORRES, Marcelo; CARDOSO DOS REIS MELO, Marcelo. - (2022).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/955291
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