Evidence map›Paper›PMID 23028574›Full record

ArticlePloS one2012

A targeted library screen reveals a new inhibitor scaffold for protein kinase D.

Manuj Tandon, Lirong Wang, Qi Xu, Xiangqun Xie, Peter Wipf, Qiming Jane Wang

Abstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Potential role for protein kinase D inhibitors in prostate cancer.Journal of molecular medicine (Berlin, Germany) · 2023
    Review
  3. Review
  4. Article
  5. Protein kinase D signaling in cancer: A friend or foe?Biochimica et biophysica acta. Reviews on cancer · 2017
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

6 authors.

Manuj TandonDepartment of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Lirong Wang
Qi Xu
Xiangqun Xie
Peter Wipf
Qiming Jane Wang

Funding

University of Pittsburgh Center for Chemical DiversityP50GM067082 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WIPF, PETER · 2002 to 2012
$18.6M
The role of PKD3 in prostate carcinogenesisR01CA129127 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WANG, QIMING JANE · 2009 to 2013
$1.5M
Development of small molecule inhibitors of protein kinase DR01CA142580 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WANG, QIMING JANE · 2010 to 2014
$1.5M
NCI NIH HHS R01 CA129127NCI NIH HHS R01CA129127-01NCI NIH HHS R01 CA142580NCI NIH HHS R01CA142580-01NIGMS NIH HHS P50 GM067082NIGMS NIH HHS P50-GM067082
6 · The paper itself

Abstract

Protein kinase D (PKD) has emerged as a potential therapeutic target in multiple pathological conditions, including cancer and heart diseases. Potent and selective small molecule inhibitors of PKD are valuable for dissecting PKD-mediated cellular signaling pathways and for therapeutic application. In this study, we evaluated a targeted library of 235 small organic kinase inhibitors for PKD1 inhibitory activity at a single concentration. Twenty-eight PKD inhibitory chemotypes were identified and six exhibited excellent PKD1 selectivity. Five of the six lead structures share a common scaffold, with compound 139 being the most potent and selective for PKD vs PKC and CAMK. Compound 139 was an ATP-competitive PKD1 inhibitor with a low double-digit nanomolar potency and was also cell-active. Kinase profiling analysis identified this class of small molecules as pan-PKD inhibitors, confirmed their selectivity again PKC and CAMK, and demonstrated an overall favorable selectivity profile that could be further enhanced through structural modification. Furthermore, using a PKD homology model based on similar protein kinase structures, docking modes for compound 139 were explored and compared to literature examples of PKD inhibition. Modeling of these compounds at the ATP-binding site of PKD was used to rationalize its high potency and provide the foundation for future further optimization. Accordingly, using biochemical screening of a small number of privileged scaffolds and computational modeling, we have identified a new core structure for highly potent PKD inhibition with promising selectivity against closely related kinases. These lead structures represent an excellent starting point for the further optimization and the design of selective and therapeutically effective small molecule inhibitors of PKD.

Indexed as

HumansModels, MolecularProtein Kinase CProtein Kinase InhibitorsSignal TransductionProtein Kinase Cprotein kinase DProtein Kinase Inhibitors

Identifiers

PMID23028574
PMCPMC3445516

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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.