Evidence map›Paper›PMID 32725965›Full record

ArticleMolecular informatics2020

Drug-target-ADR Network and Possible Implications of Structural Variants in Adverse Events.

Bryan Dafniet, Natacha Cerisier, Karine Audouze, Olivier Taboureau

Open access · hybridAbstract read
In one paragraph

Article in Molecular informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Emerging Bioinformatics Methods and Resources in Drug Toxicology.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  3. Article
  4. 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

4 authors at 2 institutions in 1 country.

Bryan DafnietUniversité de Paris, INSERM U1133, CNRS UMR 8251, 75006, Paris, France.
Natacha CerisierUniversité de Paris, INSERM U1133, CNRS UMR 8251, 75006, Paris, France.
Karine AudouzeUniversité de Paris, T3S, INSERM UMR S-1124, 75006, Paris, France.
Olivier TaboureauUniversité de Paris, INSERM U1133, CNRS UMR 8251, 75006, Paris, France.ORCID 0000-0001-7081-2491
Centre National de la Recherche Scientifique · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adverse drug reactions (ADRs) are of major concern in drug safety. However, due to the biological complexity of human systems, understanding the underlying mechanisms involved in development of ADRs remains a challenging task. Here, we applied network sciences to analyze a tripartite network between 1000 drugs, 1407 targets, and 6164 ADRs. It allowed us to suggest drug targets susceptible to be associated to ADRs and organs, based on the system organ class (SOC). Furthermore, a score was developed to determine the contribution of a set of proteins to ADRs. Finally, we identified proteins that might increase the susceptibility of genes to ADRs, on the basis of knowledge about genomic structural variation in genes encoding proteins targeted by drugs. Such analysis should pave the way to individualize drug therapy and precision medicine.

Indexed as

Drug-Related Side Effects and Adverse ReactionsHumansPharmaceutical PreparationsProteinsPharmaceutical PreparationsProteinsadverse drug reactionsdrug safetyNetwork sciencespharmacologyprecision medicine

Identifiers

PMID32725965
PMCPMC8047896
OpenAlexW3045912612

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.