ArticleScientific reports2018
Towards an experimental classification system for membrane active 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 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Synergistic Potential of Plant Alkaloids and Intragenic Antimicrobial Peptides in Treating Multidrug-Resistant Infectious Diseases.Antibiotics (Basel, Switzerland) · 2026Article
- Dual-Channel Fluorescence Assays with Supramolecular Host-Dye Reporter Pairs for Membrane Activity Mapping of Peptides.Angewandte Chemie (International ed. in English) · 2026Article
- Identification of Novel TAT-I24-Related Peptides with Antiviral Activities.International journal of molecular sciences · 2025Article
- Investigating Penetration and Antimicrobial Activity of Vector-Bicycle Conjugates.ACS infectious diseases · 2024Article
- Structure-aware machine learning strategies for antimicrobial peptide discovery.Scientific reports · 2024Article
- Accelerating the Discovery and Design of Antimicrobial Peptides with Artificial Intelligence.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Clinical applications of gene therapy for rare diseases: A review.International journal of experimental pathology · 2023Review
- Release of immunomodulatory peptides at bacterial membrane interfaces as a novel strategy to fight microorganisms.The Journal of biological chemistry · 2023Article
- Antimicrobial and Cell-Penetrating Peptides: Understanding Penetration for the Design of Novel Conjugate Antibiotics.Antibiotics (Basel, Switzerland) · 2022Review
- In Silico Prediction of Anti-Infective and Cell-Penetrating Peptides fromPharmaceuticals (Basel, Switzerland) · 2022Article
- Bio-Membrane Internalization Mechanisms of Arginine-Rich Cell-Penetrating Peptides in Various Species.Membranes · 2022Article
- The Antioxidant Peptide Salamandrin-I: First Bioactive Peptide Identified from Skin Secretion of Salamandra Genus (Salamandra salamandra).Biomolecules · 2020Article
- Antimicrobial Peptides as Anti-Infective Agents in Pre-Post-Antibiotic Era?International journal of molecular sciences · 2019Review
- Intragenic antimicrobial peptides (IAPs) from human proteins with potent antimicrobial and anti-inflammatory activity.PloS one · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mature proteins can act as potential sources of encrypted bioactive peptides that, once released from their parent proteins, might interact with diverse biomolecular targets. In recent work we introduced a systematic methodology to uncover encrypted intragenic antimicrobial peptides (IAPs) within large protein sequence libraries. Given that such peptides may interact with membranes in different ways, resulting in distinct observable outcomes, it is desirable to develop a predictive methodology to categorize membrane active peptides and establish a link to their physicochemical properties. Building upon previous work, we explored the interaction of a range of IAPs with model membranes probed by differential scanning calorimetry (DSC) and circular dichroism (CD) techniques. The biophysical data were submitted to multivariate statistical methods and resulting peptide clusters were correlated to peptide structure and to their antimicrobial activity. A re-evaluation of the physicochemical properties of the peptides was conducted based on peptide cluster memberships. Our data indicate that membranolytic peptides produce characteristic thermal transition (DSC) profiles in model vesicles and that this can be used to categorize novel molecules with unknown biological activity. Incremental expansion of the model presented here might result in a unified experimental framework for the prediction of novel classes of membrane active peptides.
Indexed as
Identifiers
What OpenQuestion holds
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.