ArticleScientific reports2020
In silico identification and functional validation of linear cationic α-helical antimicrobial peptides in the ascidian Ciona intestinalis.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 17 citations in OpenAlex.
- Natural and Synthetic Peptides as Alternatives to Antibiotics in Intestinal Infections-A Review.Antibiotics (Basel, Switzerland) · 2026Review
- Divergence of immune cell types in chordate blood.Current biology : CB · 2025Article
- Redefinition of the toll-like receptor repertoire inFrontiers in cellular and infection microbiology · 2025Article
- A Potent Antibacterial Peptide (P6) from the De Novo Transcriptome of the MicroalgaInternational journal of molecular sciences · 2024Article
- Marine Antimicrobial Peptides: An Emerging Nightmare to the Life-Threatening Pathogens.Probiotics and antimicrobial proteins · 2024Review
- A Novel Hemocyte-Derived Peptide and Its Possible Roles in Immune Response ofInternational journal of molecular sciences · 2024Article
- Bioactive Molecules from the Innate Immunity of Ascidians and Innovative Methods of Drug Discovery: A Computational Approach Based on Artificial Intelligence.Marine drugs · 2023Review
- Antimicrobial Peptides and Their Applications in Biomedical Sector.Antibiotics (Basel, Switzerland) · 2021Review
- TheInternational journal of molecular sciences · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We developed a computing method to identify linear cationic α-helical antimicrobial peptides (LCAMPs) in the genome of Ciona intestinalis based on its structural and physicochemical features. Using this method, 22 candidates of Ciona LCAMPs, including well-known antimicrobial peptides, were identified from 21,975 non-redundant amino acid sequences in Ciona genome database, Ghost database. We also experimentally confirmed the antimicrobial activities of five LCAMP candidates, and three of them were found to be active in the presence of 500 mM NaCl, nearly equivalent to the salt concentration of seawater. Membrane topology prediction suggested that salt resistance of Ciona LCAMPs might be influenced by hydrophobic interactions between the peptide and membrane. Further, we applied our method to Xenopus tropicalis genome and found 11 LCAMP candidates. Thus, our method may serve as an effective and powerful tool for searching LCAMPs that are difficult to find using conventional homology-based methods.
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.