Evidence map›Paper›PMID 21802008›Full record

ArticleChemistry & biology2011

High-throughput kinase profiling: a more efficient approach toward the discovery of new kinase inhibitors.

Chandrasekhar V Miduturu, Xianming Deng, Nicholas Kwiatkowski, Wannian Yang, Laurent Brault, Panagis Filippakopoulos, Eunah Chung, Qingkai Yang, Juerg Schwaller, Stefan Knapp and 5 more

Open access · greenAbstract read
In one paragraph

Article in Chemistry & biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

54 citing papers in PubMed, 122 citations in OpenAlex.

  1. Article
  2. Article
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  4. Inactivation of HIPK2 attenuates KRASJournal of experimental & clinical cancer research : CR · 2024
    Article
  5. Small Molecule Allosteric Inhibitor of HIPK2 as a Novel Therapy against Kidney Fibrosis.Journal of the American Society of Nephrology : JASN · 2024
    Article
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  17. Review
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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

15 authors at 5 institutions in 3 countries.

Chandrasekhar V MiduturuDepartment of Biological Chemistry and Molecular Pharmacology, Harvard Medical School and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02115, USA.
Xianming Deng
Nicholas Kwiatkowski
Wannian Yang
Laurent Brault
Panagis Filippakopoulos
Eunah Chung
Qingkai Yang
Juerg Schwaller
Stefan Knapp
Randall W King
Jiing-Dwan Lee
Sanna Herrgard
Patrick Zarrinkar
Nathanael S Gray
Harvard University · USScripps Research Institute · USUniversity Hospital of Basel · CHUniversity of Oxford · GBGeisinger Medical Center · US

Funding

Pharmaco Response Signatures and Disease MechanismU54HG006097 · NHGRI · HARVARD MEDICAL SCHOOL · PI MITCHISON, TIMOTHY J, SORGER, PETER KARL · 2010 to 2013
$9.7M
Chemical Genetic Studies of MitosisR01GM066492 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI KING, RANDALL W · 2002 to 2016
$4.7M
REGULATION OF THE CELL CYCLE IN EARLY EMBRYOSR01HD023696 · NICHD · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI RUDERMAN, JOAN V · 1988 to 2008
$4.6M
Design of inhibitors of drug-resistance protein kinasesR01CA130876 · NCI · DANA-FARBER CANCER INST · PI GRAY, NATHANAEL SCHIANDER · 2008 to 2012
$2.1M
Mechanistic Signatures of Drug Responses in CancerRC2HG005693 · NHGRI · HARVARD MEDICAL SCHOOL · PI GRAY, NATHANAEL SCHIANDER, MITCHISON, TIMOTHY J · 2009 to 2010
$2.0M
Inhibitors of Kinase ActivationP41GM079575 · NIGMS · DANA-FARBER CANCER INST · PI GRAY, NATHANAEL SCHIANDER · 2006 to 2009
$1.2M
Chemical Genetic and Biochmechical Studies of Mitotic ProteolysisR56GM066492 · NIGMS · HARVARD MEDICAL SCHOOL · PI KING, RANDALL W · 2007 to 2007
$198k
CIHRNCI NIH HHS CA130876-03NCI NIH HHS R01 CA130876NHGRI NIH HHS HG005693-02NHGRI NIH HHS RC2 HG005693NHGRI NIH HHS U54 HG006097NHGRI NIH HHS U54 HG006097-01NICHD NIH HHS HD 23696-21NICHD NIH HHS R01 HD023696NIGMS NIH HHS GM66492NIGMS NIH HHS P41 GM079575NIGMS NIH HHS R01 GM066492NIGMS NIH HHS R56 GM066492Wellcome Trust 092809
6 · The paper itself

Abstract

Selective protein kinase inhibitors have only been developed against a small number of kinase targets. Here we demonstrate that "high-throughput kinase profiling" is an efficient method for the discovery of lead compounds for established as well as unexplored kinase targets. We screened a library of 118 compounds constituting two distinct scaffolds (furan-thiazolidinediones and pyrimido-diazepines) against a panel of 353 kinases. A distinct kinase selectivity profile was observed for each scaffold. Selective inhibitors were identified with submicromolar cellular activity against PIM1, ERK5, ACK1, MPS1, PLK1-3, and Aurora A,B kinases. In addition, we identified potent inhibitors for so far unexplored kinases such as DRAK1, HIPK2, and DCAMKL1 that await further evaluation. This inhibitor-centric approach permits comprehensive assessment of a scaffold of interest and represents an efficient and general strategy for identifying new selective kinase inhibitors.

Indexed as

Aurora KinasesBenzodiazepinesDrug Evaluation, PreclinicalFuransHigh-Throughput Screening AssaysHumansMitogen-Activated Protein Kinase 7Models, MolecularProtein Kinase InhibitorsProtein KinasesProtein Serine-Threonine KinasesProtein-Tyrosine KinasesProto-Oncogene Proteins c-pim-1Thiazolidinediones2,4-thiazolidinedioneAurora KinasesBenzodiazepinesFuransMitogen-Activated Protein Kinase 7Protein Kinase InhibitorsProtein KinasesProtein Serine-Threonine KinasesProtein-Tyrosine KinasesProto-Oncogene Proteins c-pim-1proto-oncogene proteins pimThiazolidinedionesTNK2 protein, human

Identifiers

PMID21802008
PMCPMC3171802
OpenAlexW2071217673

What OpenQuestion holds

Textmetadata
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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.