Evidence map›Paper›PMID 41889995›Full record

ArticlebioRxiv : the preprint server for biology2026

Polypharmacology is an enduring and nearly universal property of kinase inhibitors.

Caitlin E Mills, Clemens Hug, Karuna Anna Sajeevan, Nicholas Clark, Chiara Victor, Mirra Chung, Sameer Rawat, Hope D'Erasmo, Mariana Pereira Moraes, Bree Aldridge and 4 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

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

14 authors.

Caitlin E MillsLaboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, 02115, USA.ORCID 0000-0002-2608-4084
Clemens HugLaboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, 02115, USA.ORCID 0000-0002-8299-3274
Karuna Anna SajeevanDepartment of Chemical and Biological Engineering, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0002-9093-3845
Nicholas ClarkLaboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, 02115, USA.ORCID 0000-0003-0105-9605
Chiara VictorLaboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, 02115, USA.ORCID 0000-0002-9002-1328
Mirra ChungLaboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, 02115, USA.ORCID 0000-0002-4033-7930
Sameer RawatKhoury College of Computer Sciences, Northeastern University, Boston, MA, USA.ORCID 0009-0006-9618-2153
Hope D'ErasmoDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine and Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance, Boston, MA, USA.ORCID 0009-0003-5714-7724
Mariana Pereira MoraesDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine and Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance, Boston, MA, USA.ORCID 0009-0004-0962-2620
Bree AldridgeLaboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, 02115, USA.ORCID 0000-0003-2236-1424
Mark W AlbersLaboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, 02115, USA.ORCID 0000-0001-7855-3455
Ratul ChowdhuryLaboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, 02115, USA.ORCID 0000-0003-4522-6911
Benjamin M GyoriLaboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, 02115, USA.ORCID 0000-0001-9439-5346
Peter K SorgerLaboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, 02115, USA.ORCID 0000-0002-3364-1838

Funding

Illuminating Function of the Understudied Druggable KinomeU24DK116204 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JOHNSON, GARY L. · 2017 to 2022
$13.6M
Harnessing Diverse Bioinformatic Approaches To Repurpose Drugs For Alzheimers Disease And Related DementiasR01AG058063 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI MARK W ALBERS, PETER Karl SORGER · 2018 to 2026
$7.8M
Lesion-centric optimization of multidrug therapies for tuberculosisR01AI150684 · NIAID · TUFTS UNIVERSITY BOSTON · PI ALDRIDGE, BREE BEARDSLEY, KIRSCHNER, DENISE E · 2020 to 2024
$4.2M
NIAID NIH HHS R01 AI150684NIA NIH HHS R01 AG058063NIDDK NIH HHS U24 DK116204
6 · The paper itself

Abstract

Despite decades of research, current understanding of the spectrum of targets bound by kinase inhibitors remains incomplete. This complicates mechanism of action studies, drug repurposing, and development of new therapies. Here, we describe kinome-wide profiling of an optimal kinase library (OKL) comprising 192 small molecules selected based on stage of clinical development, chemical diversity, and target coverage. Our results show that polypharmacology is widespread and independent of regulatory approval. The generally understood ("assigned") targets of approved molecules are not necessarily the most potently inhibited and off-targets include multiple understudied kinases. Moreover, median selectivity has not increased over time We illustrate how an OKL in combination with detailed kinome profiling can be used to identify potential toxicity targets, repurpose anti-inflammatory drugs for neurodegenerative and infectious diseases, and perform chemical genetic studies. Our studies also highlight how much remains to be discovered about the chemistry and biology of one of the largest classes of human therapeutics.

Identifiers

PMID41889995
PMCPMC13015435

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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.