Evidence map›Paper›PMID 25399643›Full record

ReviewMethods in enzymology2014

Targeting protein kinases with selective and semipromiscuous covalent inhibitors.

Rand M Miller, Jack Taunton

Abstract readReview
In one paragraph

Review in Methods in enzymology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  5. Article
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  7. Review
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  11. Drug-Target Kinetics in Drug Discovery.ACS chemical neuroscience · 2018
    Article
  12. Article
  13. Prediction of intracellular exposure bridges the gap between target- and cell-based drug discovery.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  14. Article
  15. Article
  16. 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

2 authors.

Rand M MillerChemistry and Chemical Biology Graduate Program, University of California, San Francisco, California, USA.
Jack TauntonHoward Hughes Medical Institute and Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA. Electronic address: jack.taunton@ucsf.edu.

Funding

Highly Selective, Irreversible Protein Kinase InhibitorsR01GM071434 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI TAUNTON, JACK · 2005 to 2008
$1.1M
NIGMS NIH HHS R01 GM071434
6 · The paper itself

Abstract

Protein kinase inhibitors are an important class of therapeutics. In addition, selective kinase inhibitors can often reveal unexpected biological insights, augmenting genetic approaches and playing a decisive role in preclinical target validation studies. Nevertheless, developing protein kinase inhibitors with sufficient selectivity and pharmacodynamic potency presents significant challenges. Targeting noncatalytic cysteines with covalent inhibitors is a powerful approach to address both challenges simultaneously. Here, we describe our efforts to design irreversible and reversible electrophilic inhibitors with varying degrees of kinase selectivity. Highly selective covalent inhibitors have been used to elucidate the roles of p90 ribosomal protein S6 kinases in animal models of atherosclerosis and diabetes. By contrast, semipromiscuous covalent inhibitors have revealed new therapeutic targets in disease-causing parasites and have shown utility as chemoproteomic probes for interrogating kinase occupancy in living cells.

Indexed as

Drug DesignModels, ChemicalAnimalsBiocatalysisCatalysisCatalytic DomainHumansLysineProtein ConformationProtein Kinase InhibitorsProtein KinasesLysineProtein Kinase InhibitorsProtein KinasesChemoproteomicCovalent inhibitorsCysteineHypothemycinKinase inhibitorsMSKRSKT. brucei

Identifiers

PMID25399643
PMCPMC4265651

What OpenQuestion holds

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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.