ArticleCommunications biology2018
Structure-function-guided exploration of the antimicrobial peptide polybia-CP identifies activity determinants and generates synthetic therapeutic candidates.
Article in Communications biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.
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Who cites it
79 citing papers in PubMed.
- Artificial intelligence catalyzes antimicrobial peptide design.Synthetic and systems biotechnology · 2027Review
- Antimicrobial peptides as computational candidates for SARS-CoV-2 papain-like protease inhibition.Scientific reports · 2026Article
- Goat gut microbiome as a reservoir for microorganism-encoded short peptides: regulation by host development age and nematode challenge.NPJ biofilms and microbiomes · 2026Article
- Engineering the Host Defense Peptide from Scorpion Venom for Safer and More Potent Antibreast Cancer Activity.ACS pharmacology & translational science · 2026Article
- Role of Disulfide Bond in Modulating the Antibacterial Activity and Structure of Cathelicidin-DM Peptides.Probiotics and antimicrobial proteins · 2026Article
- The Snakin Family of Antimicrobial Peptides: Promising Alternatives to Conventional Antibiotics.Pharmaceuticals (Basel, Switzerland) · 2026Review
- SET-M33 peptide as a selectiveMicrobiology spectrum · 2026Article
- A generative artificial intelligence approach for peptide antibiotic optimization.Nature machine intelligence · 2026Article
- Optimizing Histatin 5: Effects of K13 and K17 Substitutions on Proteolytic Stability and Antifungal Activity.Computational and structural biotechnology journal · 2026Article
- Animal Venom Pharmacological Resources: Exploiting Bioactive Peptides to Target Multi-Drug-Resistant Bacteria.Biochemistry research international · 2026Review
- Predicting Toxicity of Insect Venom-Derived Antimicrobial Peptides Using MD Simulations: A Comparative Study of Multi-Component and Realistic Mammalian Membrane Models.The Journal of membrane biology · 2025Article
- Tutorial: guidelines for the use of machine learning methods to mine genomes and proteomes for antibiotic discovery.Nature protocols · 2025Review
- 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
- Synthetic peptides targeting a mast cell-specific G protein-coupled receptor MRGPRB2 display anti-infective potential.Cell biomaterials · 2025Article
- Generative latent diffusion language modeling yields anti-infective synthetic peptides.bioRxiv : the preprint server for biology · 2025Article
- Application of machine learning in the discovery of antimicrobial peptides: exploring their potential for ulcerative colitis therapy.eGastroenterology · 2025Article
- Peptides from non-immune proteins target infections through antimicrobial and immunomodulatory properties.Trends in biotechnology · 2025Article
- Tailored structured peptide design with a key-cutting machine approach.Nature machine intelligence · 2025Article
- Discovery of antibiotics in the archaeome using deep learning.bioRxiv : the preprint server for biology · 2024Article
19 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Antimicrobial peptides (AMPs) constitute promising alternatives to classical antibiotics for the treatment of drug-resistant infections, which are a rapidly emerging global health challenge. However, our understanding of the structure-function relationships of AMPs is limited, and we are just beginning to rationally engineer peptides in order to develop them as therapeutics. Here, we leverage a physicochemical-guided peptide design strategy to identify specific functional hotspots in the wasp-derived AMP polybia-CP and turn this toxic peptide into a viable antimicrobial. Helical fraction, hydrophobicity, and hydrophobic moment are identified as key structural and physicochemical determinants of antimicrobial activity, utilized in combination with rational engineering to generate synthetic AMPs with therapeutic activity in a mouse model. We demonstrate that, by tuning these physicochemical parameters, it is possible to design nontoxic synthetic peptides with enhanced sub-micromolar antimicrobial potency in vitro and anti-infective activity in vivo. We present a physicochemical-guided rational design strategy to generate peptide antibiotics.
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Registered trials
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.