ArticleScientific reports2018
Novel 3D Structure Based Model for Activity Prediction and Design of Antimicrobial Peptides.
Article in Scientific reports, 2018. 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.
- Peptidomics-guided 3D structural-mechanistic investigation of bovine colostrum peptides reveals multi-targetedFood chemistry: X · 2026Article
- Role of antimicrobial peptide-based biomaterials in respiratory tract infections control.BMC microbiology · 2026Review
- AI-driven multiscale virtual plant cell modeling: from molecular mechanisms to tissue functions.Planta · 2026Review
- Vector venom: venomics of Aedes albopictus reveals a large enzyme repertoire and novel cecropins with activity against E. coli.npj drug discovery · 2026Article
- Deep-Learning-Based Approaches for Rational Design of Stapled Peptides With High Antimicrobial Activity and Stability.Microbial biotechnology · 2025Article
- Antimicrobial Peptides and Their Biomedical Applications: A Review.Antibiotics (Basel, Switzerland) · 2024Review
- Generation, Characterisation and Identification of Bioactive Peptides from Mesopelagic Fish Protein Hydrolysates Using In Silico and In Vitro Approaches.Marine drugs · 2024Article
- Can large language models predict antimicrobial peptide activity and toxicity?RSC medicinal chemistry · 2024Article
- Recent advances in the development of antimicrobial peptides against ESKAPE pathogens.Heliyon · 2024Review
- Rational design of stapled antimicrobial peptides.Amino acids · 2023Review
- Emerging Computational Approaches for Antimicrobial Peptide Discovery.Antibiotics (Basel, Switzerland) · 2022Review
- DRAMP 3.0: an enhanced comprehensive data repository of antimicrobial peptides.Nucleic acids research · 2022Article
- An Efficient Evaluation System Accelerates α-Helical Antimicrobial Peptide Discovery and Its Application to Global Human Genome Mining.Frontiers in microbiology · 2022Article
- Antimicrobial Peptides: An Update on Classifications and Databases.International journal of molecular sciences · 2021Review
- Antimicrobial peptides as a feed additive alternative to animal production, food safety and public health implications: An overview.Animal nutrition (Zhongguo xu mu shou yi xue hui) · 2021Review
- Preliminary Characterization of NP339, a Novel Polyarginine Peptide with Broad Antifungal Activity.Antimicrobial agents and chemotherapy · 2021Article
- Machine learning designs non-hemolytic antimicrobial peptides.Chemical science · 2021Article
- Prediction of Anticancer Peptides with High Efficacy and Low Toxicity by Hybrid Model Based on 3D Structure of Peptides.International journal of molecular sciences · 2021Article
- The drug resistance of multidrug-resistant bacterial organisms in pediatric pneumonia patients.American journal of translational research · 2021Article
- Antimicrobial peptides - Advances in development of therapeutic applications.Life sciences · 2020Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The emergence and worldwide spread of multi-drug resistant bacteria makes an urgent challenge for the development of novel antibacterial agents. A perspective weapon to fight against severe infections caused by drug-resistant microorganisms is antimicrobial peptides (AMPs). AMPs are a diverse class of naturally occurring molecules that are produced as a first line of defense by all multi-cellular organisms. Limited by the number of experimental determinate 3D structure, most of the prediction or classification methods of AMPs were based on 2D descriptors, including sequence, amino acid composition, peptide net charge, hydrophobicity, amphiphilic, etc. Due to the rapid development of structural simulation methods, predicted models of proteins (or peptides) have been successfully applied in structure based drug design, for example as targets of virtual ligand screening. Here, we establish the activity prediction model based on the predicted 3D structure of AMPs molecule. To our knowledge, it is the first report of prediction method based on 3D descriptors of AMPs. Novel AMPs were designed by using the model, and their antibacterial effect was measured by in vitro experiments.
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