Evidence map›Paper›PMID 41278810›Full record

ArticlebioRxiv : the preprint server for biology2025

Cellular Selectivity Analyses Reveal Distinguishing Profiles for Type II Kinase Inhibitors.

Matthew J Binder, Frances M Bashore, Kaitlin K Dunn Hoffman, Cameron Daamgard, Michael R Slater, David H Drewry, Matthew B Robers, Alison D Axtman

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Matthew J BinderStructural Genomics Consortium, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.ORCID 0009-0006-6715-4073
Frances M BashoreStructural Genomics Consortium, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.ORCID 0000-0003-4241-9873
Kaitlin K Dunn HoffmanPromega Corporation, 2800 Woods Hollow Road, Madison, WI 53711, USA.
Cameron DaamgardPromega Corporation, 2800 Woods Hollow Road, Madison, WI 53711, USA.
Michael R SlaterPromega Corporation, 2800 Woods Hollow Road, Madison, WI 53711, USA.ORCID 0000-0002-2803-0338
David H DrewryStructural Genomics Consortium, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.ORCID 0000-0001-5973-5798
Matthew B RobersPromega Corporation, 2800 Woods Hollow Road, Madison, WI 53711, USA.ORCID 0000-0001-8505-5227
Alison D AxtmanStructural Genomics Consortium, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.ORCID 0000-0003-4779-9932

Funding

UNC Chemical Biology Interface Training ProgramT32GM135122 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Jeffrey Aube · 2021 to 2026
$1.6M
NIGMS NIH HHS T32 GM135122
6 · The paper itself

Abstract

A pivotal part of kinase chemical probe and drug development is assessment of the selectivity of a putative lead compound. While there is no consensus around the size of an appropriate panel or the type of assay(s) that are most appropriate, there is concurrence that gauging the number of on- and off-targets of a kinase inhibitor is essential. Historically, kinase selectivity panels have been comprised of cell-free assays. As pharmacology takes place in cells, we have compared profiling results generated using the cell-free assays to those obtained when a panel of cellular target engagement NanoBRET assays is used to assess selectivity in intact cells. Comparison of the data sets demonstrates divergent results that can influence chemical probe prioritization. Furthermore, we identify unanticipated kinase interactions in cells for type II kinase inhibitors that are not observed in biochemical, cell-free systems.

Identifiers

PMID41278810
PMCPMC12632604

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.