Evidence map›Paper›PMID 35743134›Full record

ArticleInternational journal of molecular sciences2022

A Study of Type II ɛ-PL Degrading Enzyme (pldII) in

Qinyu Li, Xiaojia Chen, Yuanjie Wu, Zheng Chen, Yang Han, Peng Zhou, Jiping Shi, Zhijun Zhao

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Peptidases: Role and Function in Health and Disease.International journal of molecular sciences · 2023
    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 5 institutions in 1 country.

Qinyu LiLab of Biorefinery, Shanghai Advanced Research Institute, Chinese Academy of Sciences, No. 99 Haike Road, Shanghai 201210, China.
Xiaojia ChenLab of Biorefinery, Shanghai Advanced Research Institute, Chinese Academy of Sciences, No. 99 Haike Road, Shanghai 201210, China.
Yuanjie WuShanghai Institute of Pharmaceutical Industry, Gebaini Road 285, Shanghai 201203, China.
Zheng ChenSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Yang HanSchool of Forestry, Northeast Forestry University, Harbin 150040, China.
Peng ZhouSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Jiping ShiLab of Biorefinery, Shanghai Advanced Research Institute, Chinese Academy of Sciences, No. 99 Haike Road, Shanghai 201210, China.
Zhijun ZhaoLab of Biorefinery, Shanghai Advanced Research Institute, Chinese Academy of Sciences, No. 99 Haike Road, Shanghai 201210, China.
Shanghai Advanced Research Institute · CNShanghaiTech University · CNUniversity of Shanghai for Science and Technology · CNNortheast Forestry University · CNShanghai Institute of Pharmaceutical Industry · CN

Funding

Science and Technology Planning Project of Shanghai, China No. 20392003600 and No. 19391903100
6 · The paper itself

Abstract

ε-Poly-L-lysine (ε-PL) is a widely used antibacterial peptide polymerized of 25-35 L-lysine residues. The antibacterial effect of ε-PL is closely related to the polymerization degree. However, the mechanism of ε-PL degradation in

Indexed as

PolylysineStreptomycesAnti-Bacterial AgentsFermentationSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAnti-Bacterial AgentsPolylysineStreptomyces albulusε-PL degrading enzymeε-Poly-L-lysine

Identifiers

PMID35743134
PMCPMC9223678
OpenAlexW4282965117

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.