Evidence map›Paper›PMID 27457921›Full record

ArticleScientific reports2016

DisSim: an online system for exploring significant similar diseases and exhibiting potential therapeutic drugs.

Liang Cheng, Yue Jiang, Zhenzhen Wang, Hongbo Shi, Jie Sun, Haixiu Yang, Shuo Zhang, Yang Hu, Meng Zhou

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Computational Methods for Identifying Similar Diseases.Molecular therapy. Nucleic acids · 2019
    Review
  3. Article
  4. Article
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  7. PWCDA: Path Weighted Method for Predicting circRNA-Disease Associations.International journal of molecular sciences · 2018
    Article
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  9. Article
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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

9 authors.

Liang ChengCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.
Yue JiangHospital for Sick Children, Toronto, Canada.
Zhenzhen WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.
Hongbo ShiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.
Jie SunCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.
Haixiu YangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.
Shuo ZhangSchool of Management, Harbin University of Commerce, Harbin 150081, PR China.
Yang HuSchool of Life Science and Technology, Harbin Institute of Technology, Harbin 150081, PR China.
Meng ZhouCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The similarity of pair-wise diseases reveals the molecular relationships between them. For example, similar diseases have the potential to be treated by common therapeutic chemicals (TCs). In this paper, we introduced DisSim, an online system for exploring similar diseases, and comparing corresponding TCs. Currently, DisSim implemented five state-of-the-art methods to measure the similarity between Disease Ontology (DO) terms and provide the significance of the similarity score. Furthermore, DisSim integrated TCs of diseases from the Comparative Toxicogenomics Database (CTD), which can help to identify potential relationships between TCs and similar diseases. The system can be accessed from http://123.59.132.21:8080/DisSim.

Indexed as

Databases, FactualOnline SystemsPharmacological and Toxicological PhenomenaToxicogeneticsDiseaseDrug TherapyHumans

Identifiers

PMID27457921
PMCPMC4960572

What Socratic holds

Textmetadata
LicenceCC BY
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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.