Evidence map›Paper›PMID 38406763›Full record

ArticleFood chemistry: X2024

Study on antimicrobial activity of sturgeon skin mucus polypeptides (Rational Design, Self-Assembly and Application).

Beining Yang, Wei Li, Yuxuan Mao, Yuanhui Zhao, Yong Xue, Xinxing Xu, Yilin Zhao, Kang Liu

Open access · goldAbstract read
In one paragraph

Article in Food chemistry: X, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.8field-weighted citation impact, top 7% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Beining YangSanya Oceanographic Institution /College of Food Science and Engineering, Ocean University of China, Sanya/Qingdao, China.
Wei LiChina Department of General Surgery, The District Hospital of Qingdao West Coast New Area, Qngdao, Shandong, China.
Yuxuan MaoNational Engineering Research Center for Wheat and Corn Deep Processing, College of Food Science and Engineering, Jilin Agricultural University, Changchun, Jilin, China.
Yuanhui ZhaoSanya Oceanographic Institution /College of Food Science and Engineering, Ocean University of China, Sanya/Qingdao, China.
Yong XueSanya Oceanographic Institution /College of Food Science and Engineering, Ocean University of China, Sanya/Qingdao, China.
Xinxing XuState Key Laboratory of Marine Food Processing & Safety Control, Ocean University of China, Qingdao, Shandong, China.
Yilin ZhaoSanya Oceanographic Institution /College of Food Science and Engineering, Ocean University of China, Sanya/Qingdao, China.
Kang LiuCollege of Ocean Food and Biological Engineering, Jimei University, Xiamen, China.
Ocean University of China · CNJimei University · CNJimo District Qingdao Hospital of Traditional Chinese Medicine · CNNational Engineering Research Center for Wheat · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the favorable biocompatibility of natural antimicrobial peptides (AMPs), their scarcity limits their practical application. Through rational design, the activity of AMPs can be enhanced to expand their application. In this study, we selected a natural sturgeon epidermal mucus peptide, AP-16 (APATPAAPALLPLWLL), as the model molecule and studied its conformational regulation and antimicrobial activity through amino acid substitutions and

Indexed as

Antimicrobial activityAntimicrobial peptideMolecular designSelf-assemblySturgeon epidermal mucus

Identifiers

PMID38406763
PMCPMC10884804
OpenAlexW4391888793

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.