Evidence map›Paper›PMID 33281870›Full record

ArticleFrontiers in genetics2020

DRIM: A Web-Based System for Investigating Drug Response at the Molecular Level by Condition-Specific Multi-Omics Data Integration.

Minsik Oh, Sungjoon Park, Sangseon Lee, Dohoon Lee, Sangsoo Lim, Dabin Jeong, Kyuri Jo, Inuk Jung, Sun Kim

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Minsik OhDepartment of Computer Science and Engineering, Seoul National University, Seoul, South Korea.
Sungjoon ParkDepartment of Computer Science and Engineering, Seoul National University, Seoul, South Korea.
Sangseon LeeBioinformatics Institute, Seoul National University, Seoul, South Korea.
Dohoon LeeInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, South Korea.
Sangsoo LimBioinformatics Institute, Seoul National University, Seoul, South Korea.
Dabin JeongInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, South Korea.
Kyuri JoDepartment of Computer Engineering, Chungbuk National University, Cheongju, South Korea.
Inuk JungDepartment of Computer Science and Engineering, Kyungpook National University, Daegu, South Korea.
Sun KimBioinformatics Institute, Seoul National University, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacogenomics is the study of how genes affect a person's response to drugs. Thus, understanding the effect of drug at the molecular level can be helpful in both drug discovery and personalized medicine. Over the years, transcriptome data upon drug treatment has been collected and several databases compiled before drug treatment cancer cell multi-omics data with drug sensitivity (

Indexed as

drug-responsemulti-omicsperturbed pathwaypharmacogenomicstime-seriesweb-system

Identifiers

PMID33281870
PMCPMC7689278

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.