Evidence map›Paper›PMID 28426203›Full record

ArticleAccounts of chemical research2017

Tyrosine Kinase Activation and Conformational Flexibility: Lessons from Src-Family Tyrosine Kinases.

Yilin Meng, Matthew P Pond, Benoît Roux

Open access · greenAbstract read
In one paragraph

Article in Accounts of chemical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

46 citing papers in PubMed, 82 citations in OpenAlex.

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  8. VIK-Mediated Auxin Signaling Regulates Lateral Root Development in Arabidopsis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
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  12. Review
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  19. Dynamic equilibria in protein kinases.Current opinion in structural biology · 2021
    Review
  20. 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

3 authors at 1 institution in 1 country.

Yilin MengDepartment of Biochemistry and Molecular Biology, Gordon Center for Integrative Science, University of Chicago 929 E 57th Street, Chicago, Illinois 60637, United States.
Matthew P PondDepartment of Biochemistry and Molecular Biology, Gordon Center for Integrative Science, University of Chicago 929 E 57th Street, Chicago, Illinois 60637, United States.
Benoît RouxDepartment of Biochemistry and Molecular Biology, Gordon Center for Integrative Science, University of Chicago 929 E 57th Street, Chicago, Illinois 60637, United States.ORCID 0000-0002-5254-2712
University of Chicago · US

Funding

Beagle: A Supercomputer for Computational Biology, Simulation, and Data AnalysisS10RR029030 · NCRR · UNIVERSITY OF CHICAGO · PI FOSTER, IAN · 2010 to 2010
$7.0M
Conformational Flexibility in Activation of Src-KinaseR01CA093577 · NCI · WEILL MEDICAL COLLEGE OF CORNELL UNIV · PI BENOIT ROUX · 2002 to 2026
$5.6M
NCI NIH HHS R01 CA093577NCRR NIH HHS S10 RR029030
6 · The paper itself

Abstract

Protein kinases are enzymes that catalyze the covalent transfer of the γ-phosphate of an adenosine triphosphate (ATP) molecule onto a tyrosine, serine, threonine, or histidine residue in the substrate and thus send a chemical signal to networks of downstream proteins. They are important cellular signaling enzymes that regulate cell growth, proliferation, metabolism, differentiation, and migration. Unregulated protein kinase activity is often associated with a wide range of diseases, therefore making protein kinases major therapeutic targets. A prototypical system of central interest to understand the regulation of kinase activity is provided by tyrosine kinase c-Src, which belongs to the family of Src-related non-receptor tyrosine kinases (SFKs). Although the broad picture of autoinhibition via the regulatory domains and via the phosphorylation of the C-terminal tail is well characterized from a structural point of view, a detailed mechanistic understanding at the atomic-level is lacking. Advanced computational methods based on all-atom molecular dynamics (MD) simulations are employed to advance our understanding of tyrosine kinase activation. The computational studies suggest that the isolated kinase domain (KD) is energetically most favorable in the inactive conformation when the activation loop (A-loop) of the KD is not phosphorylated. The KD makes transient visits to a catalytically competent active-like conformation. The process of bimolecular trans-autophosphorylation of the A-loop eventually locks the KD in the active state. Activating point mutations may act by slightly increasing the population of the active-like conformation, enhancing the availability of the A-loop to be phosphorylated. The Src-homology 2 (SH2) and Src-homology 3 (SH3) regulatory domains, depending upon their configuration, either promote the inactive or the active state of the kinase domain. In addition to the roles played by the SH3, SH2, and KD, the Src-homology 4-Unique domain (SH4-U) region also serves as a key moderator of substrate specificity and kinase function. Thus, a fundamental understanding of the conformational propensity of the SH4-U region and how this affects the association to the membrane surface are likely to lead to the discovery of new intermediate states and alternate strategies for inhibition of kinase activity for drug discovery. The existence of a multitude of KD conformations poses a great challenge aimed at the design of specific inhibitors. One promising computational strategy to explore the conformational flexibility of the KD is to construct Markov state models from aggregated MD data.

Indexed as

Allosteric RegulationAmino Acid SequenceEnzyme ActivationMarkov ChainsMolecular Dynamics SimulationMutationPhosphorylationProtein Domainssrc-Family KinasesThermodynamicssrc-Family Kinases

Identifiers

PMID28426203
PMCPMC6602532
OpenAlexW2606956542

What OpenQuestion holds

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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.