Evidence map›Paper›PMID 32391341›Full record

ArticleFrontiers in bioengineering and biotechnology2020

DLS: A Link Prediction Method Based on Network Local Structure for Predicting Drug-Protein Interactions.

Wei Wang, Hehe Lv, Yuan Zhao, Dong Liu, Yongqing Wang, Yu Zhang

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. A geometric deep learning model for display and prediction of potential drug-virus interactions against SARS-CoV-2.Chemometrics and intelligent laboratory systems : an international journal sponsored by the Chemometrics Society · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Link Prediction in Multipartite Graphs With Application to Drug Repositioning Studies.IEEE transactions on computational biology and bioinformatics
    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

6 authors.

Wei WangDepartment of Computer Science and Technology, College of Computer and Information Engineering, Henan Normal University, Xinxiang, China.
Hehe LvDepartment of Computer Science and Technology, College of Computer and Information Engineering, Henan Normal University, Xinxiang, China.
Yuan ZhaoDepartment of Computer Science and Technology, College of Computer and Information Engineering, Henan Normal University, Xinxiang, China.
Dong LiuDepartment of Computer Science and Technology, College of Computer and Information Engineering, Henan Normal University, Xinxiang, China.
Yongqing WangDepartment of Computer Science and Technology, College of Computer and Information Engineering, Henan Normal University, Xinxiang, China.
Yu ZhangDepartment of Computer Science and Technology, College of Computer and Information Engineering, Henan Normal University, Xinxiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The studies on drug-protein interactions (DPIs) had significant for drug repositioning, drug discovery, and clinical medicine. The biochemical experimentation (

Indexed as

DPI local structural similaritydrug-protein interactionslink predictionnetwork analysisnetwork local structure

Identifiers

PMID32391341
PMCPMC7193019

What Socratic 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 Socratic graph.