Evidence map›Paper›PMID 39735938›Full record

ArticleJACS Au2024

A Collection of Useful Nuisance Compounds (CONS) for Interrogation of Bioassay Integrity.

Huabin Hu, Xiangyan Yi, Lian Xue, Jonathan B Baell

Abstract read
In one paragraph

Article in JACS Au, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Huabin HuScience for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, BMC, Box 596, Uppsala SE-751 24, Sweden.ORCID https://orcid.org/0009-0001-6851-6340
Xiangyan YiMedicinal Chemistry, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria 3052, Australia.
Lian XueMedicinal Chemistry, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria 3052, Australia.
Jonathan B BaellMedicinal Chemistry, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria 3052, Australia.ORCID https://orcid.org/0000-0003-2114-8242

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput screening (HTS) is a crucial technique for identifying potential hits to fuel drug discovery pipelines. However, this process naturally concentrates nuisance compounds that are not optimizable yet signal positively in a convincing manner. To be able to understand what types of nuisance compounds a particular assay is sensitive to, would be of great utility in being able to prioritize progressable over nonprogressable screening hits. In this study, we present a carefully compiled set of over 100 nuisance compounds that are known to interfere with assay readouts in either phenotypic or target-based screenings. Readily accessible in an assay-ready screening plate, we believe this nuisance compound set will be of great interest to the research community, helping to establish high-quality HTS assays and identify promising, optimizable hits.

Identifiers

PMID39735938
PMCPMC11672131

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.