ArticleTrends in biotechnology2025
Peptides from non-immune proteins target infections through antimicrobial and immunomodulatory properties.
Article in Trends in biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Artificial Intelligence-Driven Antimicrobial Peptide Discovery: Prediction, Generation, Mining and Optimization.Probiotics and antimicrobial proteins · 2026Review
- Natural and Synthetic AMPs from Latin America across Diversity Engineering and Applications.ACS infectious diseases · 2026Review
- Retracing the origin and evolution of a cryptic antimicrobial peptide within mammalian lactoferrin.PLoS biology · 2026Article
- Deep learning reveals antimicrobial peptides within prions.Nature microbiology · 2026Article
- Encrypted immunity mediated by peptides.PLoS biology · 2026Review
- AllTheBacteria: a community resource empowers biology and discovers novel peptide antibiotics.bioRxiv : the preprint server for biology · 2026Article
- Review
- Design of a multimodal synthetic peptide antibiotic derived from human cathelicidin.Cell biomaterials · 2026Article
- Structural Modification and Conjugation Strategies of Antimicrobial Peptides for Topical Anti-Infective Applications.Antibiotics (Basel, Switzerland) · 2026Review
- Antimicrobial Peptides and Systemic Inflammation: A Network Analysis.Immunity, inflammation and disease · 2026Article
- The Future of Antibiotics and Artificial Intelligence: Some Thoughts from Discovery to Bedside.Infectious diseases and therapy · 2026Review
- Degradation graphs reveal hidden proteolytic activity in peptidomes.PLoS computational biology · 2026Article
- Article
- A generative artificial intelligence approach for peptide antibiotic optimization.Nature machine intelligence · 2026Article
- Combating Gram-negative infections: The role of antimicrobial peptides and nanotechnology in overcoming antibiotic resistance.Materials today. Bio · 2025Review
- Tutorial: guidelines for the use of machine learning methods to mine genomes and proteomes for antibiotic discovery.Nature protocols · 2025Review
- Exploring the Antimicrobial and Antiviral Properties of Cryptic Peptides from Human Fibrinogen.International journal of molecular sciences · 2025Article
- Deep learning reveals antibiotics in the archaeal proteome.Nature microbiology · 2025Article
- Computational exploration of global venoms for antimicrobial discovery with Venomics artificial intelligence.Nature communications · 2025Article
- AI-Driven Antimicrobial Peptide Discovery: Mining and Generation.Accounts of chemical research · 2025Review
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3 authors.
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Abstract
Encrypted peptides (EPs) have been recently described as a new class of antimicrobial molecules. They have been found in numerous organisms and have been proposed to have a role in host immunity and as alternatives to conventional antibiotics. Intriguingly, many of these EPs are found embedded in proteins unrelated to the immune system, suggesting that immunological responses extend beyond traditional host immunity proteins. To test this idea, we synthesized and analyzed representative peptides derived from non-immune human proteins for their ability to exert antimicrobial and immunomodulatory properties. Most of the tested peptides from non-immune proteins, derived from structural proteins as well as proteins from the nervous and visual systems, displayed potent in vitro antimicrobial activity. These molecules killed bacterial pathogens by targeting their membrane, and those originating from the same region of the body exhibited synergistic effects when combined. Beyond their antimicrobial properties, nearly 90% of the peptides tested exhibited immunomodulatory effects, modulating inflammatory mediators, such as interleukin (IL)-6, tumor necrosis factor (TNF)-α, and monocyte chemoattractant protein-1 (MCP-1). Moreover, eight of the peptides identified, collagenin-3 and 4, zipperin-1 and 2, and immunosin-2, 3, 12, and 13, displayed anti-infective efficacy in two different preclinical mouse models, reducing bacterial infections by up to four orders of magnitude. Altogether, our results support the hypothesis that peptides from non-immune proteins may have a role in host immunity. These results potentially expand our notion of the immune system to include previously unrecognized proteins and peptides that may be activated upon infection to confer protection to the host.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.