Mining for encrypted peptide antibiotics in the human proteome

Volume: 6, Issue: 1, Pages: 67 - 75
Published: Nov 4, 2021
Abstract
The emergence of drug-resistant bacteria calls for the discovery of new antibiotics. Yet, for decades, traditional discovery strategies have not yielded new classes of antimicrobial. Here, by mining the human proteome via an algorithm that relies on the sequence length, net charge, average hydrophobicity and other physicochemical properties of antimicrobial peptides, we report the identification of 2,603 encrypted peptide antibiotics that are...
Paper Details
Title
Mining for encrypted peptide antibiotics in the human proteome
Published Date
Nov 4, 2021
Volume
6
Issue
1
Pages
67 - 75
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.