ArticleFuture science OA2019
Optimization of a peptide extraction and LC-MS protocol for quantitative analysis of antimicrobial peptides.
Article in Future science OA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Machine Learning in Preclinical Development of Antiviral Peptide Candidates: A Review of the Current Landscape.Viruses · 2026Review
- A Streamlined High-Throughput LC-MS Assay for Quantifying Peptide Degradation in Cell Culture.Journal of biomedical materials research. Part A · 2025Article
- Review
- A Streamlined High-Throughput LC-MS Assay for Quantifying Peptide Degradation in Cell Culture.bioRxiv : the preprint server for biology · 2024Article
- Uncovering the Antibacterial Potential of a Peptide-Rich Extract of Edible Bird's Nest againstJournal of microbiology and biotechnology · 2024Article
- Degradation of the α-Carboxyl Terminus 11 Peptide:ACS pharmacology & translational science · 2024Article
- Genomic insights into antimicrobial potential and optimization of fermentation conditions of pig-derivedFrontiers in microbiology · 2023Article
- Mining Amphibian and Insect Transcriptomes for Antimicrobial Peptide Sequences with rAMPage.Antibiotics (Basel, Switzerland) · 2022Article
- Optimized peptide extraction method for analysis of antimicrobial peptide Kn2-7/dKn2-7 stability in human serum by LC-MS.Future science OA · 2022Article
- Treatment of Corneal Infections Utilizing an Ocular Wound Chamber.Translational vision science & technology · 2020Article
- Biological challenges of phage therapy and proposed solutions: a literature review.Expert review of anti-infective therapy · 2019Review
- Construction of a genetically modified T7Select phage system to express the antimicrobial peptide 1018.Journal of microbiology (Seoul, Korea) · 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We optimized a peptide extraction and LC-MS protocol for identification and quantification of antimicrobial peptides (AMPs) in biological samples. Amphipathic AMPs were extracted with various concentrations of ethanol, methanol, acetonitrile, formic acid, acetic acid or trichloroacetic acid in water. Yields were significantly greater for extraction with 66.7% ethanol than other extraction methods. Liquid chromatography was accomplished on a C18 column with a linear gradient of acetonitrile-formic acid, and mass spectrometry detection was performed in the positive electrospray multiple reaction monitoring mode by monitoring the transitions at
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.