ArticleFrontiers in microbiology2018
Prediction of Antimicrobial Potential of a Chemically Modified Peptide From Its Tertiary Structure.
Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
20 citing papers in PubMed.
- α-Helical Peptides Encoded in Collagen Exhibit Antimicrobial Activity with Low Cytotoxicity.Journal of natural products · 2026Article
- Harnessing Machine Learning Approaches for the Identification, Characterization, and Optimization of Novel Antimicrobial Peptides.Antibiotics (Basel, Switzerland) · 2025Review
- Antimicrobial peptides derived from human ameloblastin targeting biofilms.BMC oral health · 2025Article
- Production, Delivery, and Regulatory Aspects for Application of Plant-Based Anti-microbial Peptides: a Comprehensive Review.Probiotics and antimicrobial proteins · 2025Review
- Design of Natterins-based peptides improves antimicrobial and antiviral activities.Biotechnology reports (Amsterdam, Netherlands) · 2025Article
- Prediction of inhibitory peptides against E.coli with desired MIC value.Scientific reports · 2025Article
- Prevalence, characteristics, and plasmid dynamics ofFrontiers in microbiology · 2025Article
- Tackling the Antimicrobial Resistance "Pandemic" with Machine Learning Tools: A Summary of Available Evidence.Microorganisms · 2024Review
- Accelerating Antimicrobial Peptide Discovery for WHO Priority Pathogens through Predictive and Interpretable Machine Learning Models.ACS omega · 2024Article
- Discovery of Lactomodulin, a Unique Microbiome-Derived Peptide That Exhibits Dual Anti-Inflammatory and Antimicrobial Activity against Multidrug-Resistant Pathogens.International journal of molecular sciences · 2023Article
- Identification of antimicrobial peptides from the human gut microbiome using deep learning.Nature biotechnology · 2022Article
- Machine Learning Prediction of Antimicrobial Peptides.Methods in molecular biology (Clifton, N.J.) · 2022Article
- B3Pred: A Random-Forest-Based Method for Predicting and Designing Blood-Brain Barrier Penetrating Peptides.Pharmaceutics · 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
- AMPGAN v2: Machine Learning-Guided Design of Antimicrobial Peptides.Journal of chemical information and modeling · 2021Article
- Article
- A Method for Predicting Hemolytic Potency of Chemically Modified Peptides From Its Structure.Frontiers in pharmacology · 2020Article
- NAGbinder: An approach for identifying N-acetylglucosamine interacting residues of a protein from its primary sequence.Protein science : a publication of the Protein Society · 2020Article
- NeuroPIpred: a tool to predict, design and scan insect neuropeptides.Scientific reports · 2019Article
- SAMbinder: A Web Server for Predicting S-Adenosyl-L-Methionine Binding Residues of a Protein From Its Amino Acid Sequence.Frontiers in pharmacology · 2019Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Designing novel antimicrobial peptides is a hot area of research in the field of therapeutics especially after the emergence of resistant strains against the conventional antibiotics. In the past number of
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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.