Evidence map›Paper›PMID 32289063›Full record

ArticleAquaculture reports2019

Computational identification of self-inhibitory peptides from white spot syndrome virus envelope protein VP28.

Yongzhong Lu, Qian Qiu, Chen Li, Linyue Cheng, Jie Liu

Open access · goldAbstract read
In one paragraph

Article in Aquaculture reports, 2019. 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
0.3field-weighted citation impact, top 41% 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. 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

5 authors at 2 institutions in 1 country.

Yongzhong LuShandong Provincial Key Laboratory of Biochemical Engineering, Qingdao University of Science and Technology, No. 53, Zhengzhou Road, 266042, Qingdao, China.
Qian QiuShandong Provincial Key Laboratory of Biochemical Engineering, Qingdao University of Science and Technology, No. 53, Zhengzhou Road, 266042, Qingdao, China.
Chen LiYellow Sea Fisheries Research Institute, Chinese Academy Of Fishery Sciences, No. 106, Nanjing Road, 266071, Qingdao, China.
Linyue ChengShandong Provincial Key Laboratory of Biochemical Engineering, Qingdao University of Science and Technology, No. 53, Zhengzhou Road, 266042, Qingdao, China.
Jie LiuShandong Provincial Key Laboratory of Biochemical Engineering, Qingdao University of Science and Technology, No. 53, Zhengzhou Road, 266042, Qingdao, China.
Qingdao University of Science and Technology · CNChinese Academy of Fishery Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since effective chemotherapeutics or preventive measures are still unavailable, finding feasible approaches against white spot syndrome virus (WSSV) has always been the vital subject in shrimp farming field. Envelope proteins are the ideal targets for antiviral strategies development due to their indispensable roles in virus entry, and inhibitory peptides targeting them have been proved to be promising in blocking virus infection. In this study, the Wimley-White interfacial hydrophobicity scale (WWIHS) in combination with known structural data was applied to identify potential inhibitory peptides that targeted the envelope protein VP28 of WSSV. Results showed that two potential inhibitory peptides were identified, one of which exhibited not only obvious antiviral activity, but also broad-spectrum antimicrobial activity. The inhibitory peptide identified here can serve as a lead compound for anti-WSSV strategies development.

Indexed as

Envelope proteinInhibitory peptideShrimpWhite spot syndrome virus

Identifiers

PMID32289063
PMCPMC7104047
OpenAlexW2939942757

What OpenQuestion holds

Textmetadata
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.