Evidence map›Paper›PMID 30346593›Full record

ArticleToxicological sciences : an official journal of the Society of Toxicology2019

Rationalizing Secondary Pharmacology Screening Using Human Genetic and Pharmacological Evidence.

Aimee M Deaton, Fan Fan, Wei Zhang, Phuong A Nguyen, Lucas D Ward, Paul Nioi

Open access · hybridAbstract read
In one paragraph

Article in Toxicological sciences : an official journal of the Society of Toxicology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 32 citations in OpenAlex.

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  11. Computational toxicology (Amsterdam, Netherlands) · 2021
    Article
  12. Computational toxicology (Amsterdam, Netherlands) · 2021
    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

6 authors at 1 institution in 1 country.

Aimee M DeatonComparative Biology and Safety Sciences, Amgen Inc, Cambridge, Massachusetts 02142.
Fan FanComparative Biology and Safety Sciences, Amgen Inc, Cambridge, Massachusetts 02142.
Wei ZhangComparative Biology and Safety Sciences, Amgen Inc, Cambridge, Massachusetts 02142.
Phuong A NguyenComparative Biology and Safety Sciences, Amgen Inc, Cambridge, Massachusetts 02142.
Lucas D WardComparative Biology and Safety Sciences, Amgen Inc, Cambridge, Massachusetts 02142.
Paul NioiComparative Biology and Safety Sciences, Amgen Inc, Cambridge, Massachusetts 02142.
Amgen (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Safety-related drug failures remain a major challenge for the pharmaceutical industry. One approach to ensuring drug safety involves assessing small molecule drug specificity by examining the ability of a drug candidate to interact with a panel of "off-target" proteins, referred to as secondary pharmacology screening. Information from human genetics and pharmacology can be used to select proteins associated with adverse effects for such screening. In an analysis of marketed drugs, we found a clear relationship between the genetic and pharmacological phenotypes of a drug's off-target proteins and the observed drug side effects. In addition to using this phenotypic information for the selection of secondary pharmacology screens, we also show that it can be used to help identify drug off-target protein interactions responsible for drug-related adverse events. We anticipate that this phenotype-driven approach to secondary pharmacology screening will help to reduce safety-related drug failures due to drug off-target protein interactions.

Indexed as

Biomarkers, PharmacologicalDrug Evaluation, PreclinicalDrug-Related Side Effects and Adverse ReactionsHumansModels, TheoreticalNeural Networks, ComputerPharmacologyPhenotypeProteinsBiomarkers, PharmacologicalProteins

Identifiers

PMID30346593
PMCPMC6358245
OpenAlexW2897979832

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.