Evidence map›Paper›PMID 30518564›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Quantitative conformational profiling of kinase inhibitors reveals origins of selectivity for Aurora kinase activation states.

Eric W Lake, Joseph M Muretta, Andrew R Thompson, Damien M Rasmussen, Abir Majumdar, Erik B Faber, Emily F Ruff, David D Thomas, Nicholas M Levinson

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

44 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Cellular Context Influences Kinase Inhibitor Selectivity.Journal of medicinal chemistry · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Benchmarking Cross-Docking Strategies in Kinase Drug Discovery.Journal of chemical information and modeling · 2024
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. A biophysical framework for double-drugging kinases.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  18. Article
  19. Article
  20. A biophysical framework for double-drugging kinases.bioRxiv : the preprint server for biology · 2023
    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

9 authors at 1 institution in 1 country.

Eric W LakeDepartment of Pharmacology, University of Minnesota, Minneapolis, MN 55455.
Joseph M MurettaDepartment of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, MN 55455.
Andrew R ThompsonDepartment of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, MN 55455.
Damien M RasmussenDepartment of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, MN 55455.
Abir MajumdarDepartment of Pharmacology, University of Minnesota, Minneapolis, MN 55455.
Erik B FaberDepartment of Medicinal Chemistry, University of Minnesota, Minneapolis, MN 55455.
Emily F RuffDepartment of Pharmacology, University of Minnesota, Minneapolis, MN 55455.
David D ThomasDepartment of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, MN 55455.
Nicholas M LevinsonDepartment of Pharmacology, University of Minnesota, Minneapolis, MN 55455; nml@umn.edu.ORCID 0000-0003-4338-8087
University of Minnesota · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM008244 · NIGMS · UNIVERSITY OF MINNESOTA TWIN CITIES · PI SHIMIZU, YOJI · 1988 to 2024
$13.6M
TRAINING GRANT IN MICROBIOLOGY/CANCER RESEARCHT32CA009138 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Scott M. Dehm · 1985 to 2026
$11.3M
Structural Dynamics of Muscle ContractionR01AR032961 · NIAMS · UNIVERSITY OF MINNESOTA TWIN CITIES · PI THOMAS, DAVID D · 1986 to 2018
$8.0M
A novel time-resolved fluorescence-based high-throughput screening technology for discovering allosteric kinase inhibitorsR21CA217695 · NCI · UNIVERSITY OF MINNESOTA · PI LEVINSON, NICHOLAS MARK · 2017 to 2019
$610k
NCI NIH HHS R21 CA217695NCI NIH HHS T32 CA009138NIAMS NIH HHS R01 AR032961NIGMS NIH HHS T32 GM008244
6 · The paper itself

Abstract

Protein kinases undergo large-scale structural changes that tightly regulate function and control recognition by small-molecule inhibitors. Methods for quantifying the conformational effects of inhibitors and linking them to an understanding of selectivity patterns have long been elusive. We have developed an ultrafast time-resolved fluorescence methodology that tracks structural movements of the kinase activation loop in solution with angstrom-level precision, and can resolve multiple structural states and quantify conformational shifts between states. Profiling a panel of clinically relevant Aurora kinase inhibitors against the mitotic kinase Aurora A revealed a wide range of conformational preferences, with all inhibitors promoting either the active DFG-in state or the inactive DFG-out state, but to widely differing extents. Remarkably, these conformational preferences explain broad patterns of inhibitor selectivity across different activation states of Aurora A, with DFG-out inhibitors preferentially binding Aurora A activated by phosphorylation on the activation loop, which dynamically samples the DFG-out state, and DFG-in inhibitors binding preferentially to Aurora A constrained in the DFG-in state by its allosteric activator Tpx2. The results suggest that many inhibitors currently in clinical development may be capable of differentiating between Aurora A signaling pathways implicated in normal mitotic control and in melanoma, neuroblastoma, and prostate cancer. The technology is applicable to a wide range of clinically important kinases and could provide a wealth of valuable structure-activity information for the development of inhibitors that exploit differences in conformational dynamics to achieve enhanced selectivity.

Indexed as

Protein ConformationProtein Interaction Domains and MotifsAllosteric RegulationAmino Acid MotifsAurora Kinase ABinding SitesCell Cycle ProteinsCell DivisionCrystallography, X-RayHumansMicrotubule-Associated ProteinsModels, MolecularMolecular Docking SimulationMolecular Dynamics SimulationNuclear ProteinsOligopeptidesAurora Kinase ACell Cycle ProteinsDFG peptideMicrotubule-Associated ProteinsNuclear ProteinsOligopeptidesProtein Kinase InhibitorsTPX2 protein, humanAurora inhibitorsconformational selectivityDFG motifprotein kinases

Identifiers

PMID30518564
PMCPMC6304972
OpenAlexW2903125126

What OpenQuestion holds

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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.