Evidence map›Paper›PMID 19186126›Full record

ArticleBiophysical journal2009

Computational modeling of structurally conserved cancer mutations in the RET and MET kinases: the impact on protein structure, dynamics, and stability.

Anshuman Dixit, Ali Torkamani, Nicholas J Schork, Gennady Verkhivker

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

25 citing papers in PubMed, 47 citations in OpenAlex.

  1. Gland surgery · 2025
    Article
  2. Review
  3. Review
  4. Analysis and Interpretation of the Impact of Missense Variants in Cancer.International journal of molecular sciences · 2021
    Review
  5. Computational studies of anaplastic lymphoma kinase mutations reveal common mechanisms of oncogenic activation.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Analyzing effects of naturally occurring missense mutations.Computational and mathematical methods in medicine · 2012
    Article
  17. Review
  18. Article
  19. Article
  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

4 authors at 2 institutions in 1 country.

Anshuman DixitCenter for Bioinformatics, The University of Kansas, Lawrence, Kansas, USA.
Ali Torkamani
Nicholas J Schork
Gennady Verkhivker
Scripps Research Institute · USUniversity of Kansas · US

Funding

Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI Thomas Girke, NICHOLAS Joseph SCHORK · 2004 to 2026
$102.6M
SCRIPPS TRANSLATIONAL SCIENCE INSTITUTE (UL1)UL1RR025774 · NCRR · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2008 to 2011
$16.3M
Substance Abuse & Behavioral Disinhibition: Integrating Genes & EnvironmentU01DA024417 · NIDA · UNIVERSITY OF MINNESOTA · PI IACONO, WILLIAM G. · 2007 to 2010
$10.8M
TARGETING GENETIC PATHWAYS FOR BRAIN OVERGROWTH IN AUTISM SPECTRUM DISORDERSP50MH081755 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI COURCHESNE, ERIC · 2007 to 2013
$10.3M
Genomic Association Study of Bipolar DisorderR01MH078151 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KELSOE, JOHN R. · 2007 to 2009
$5.5M
FAMILY BLOOD PRESSURE PROGRAMU01HL064777 · NHLBI · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI SCHORK, NICHOLAS JOSEPH · 2000 to 2004
$1.1M
CNS HIV ANTI-RETROVIRAL THERAPY EFFECTS RESEARCH /CHARTER/ -278022005-278022005N01MH022005 · NIMH · UNIVERSITY OF CA -SAN DIEGO · PI GRANT, IGOR · 2003 to 2006
–
NCRR NIH HHS UL1 RR025774NHLBI NIH HHS U01 HL064777NHLBI NIH HHS U01 HL064777-06NIA NIH HHS U19 AG023122NIA NIH HHS U19 AG023122-01NIDA NIH HHS U01 DA024417NIDA NIH HHS U01 DA024417-01NIMH NIH HHS 1 R01 MH078151-01A1NIMH NIH HHS N01 MH022005NIMH NIH HHS P50 MH081755NIMH NIH HHS P50 MH081755-01NIMH NIH HHS R01 MH078151PHS HHS 5 R01 HLMH065571-02
6 · The paper itself

Abstract

Structural and biochemical characterization of protein kinases that confer oncogene addiction and harbor a large number of disease-associated mutations, including RET and MET kinases, have provided insights into molecular mechanisms associated with the protein kinase activation in human cancer. In this article, structural modeling, molecular dynamics, and free energy simulations of a structurally conserved mutational hotspot, shared by M918T in RET and M1250T in MET kinases, are undertaken to quantify the molecular mechanism of activation and the functional role of cancer mutations in altering protein kinase structure, dynamics, and stability. The mechanistic basis of the activating RET and MET cancer mutations may be driven by an appreciable free energy destabilization of the inactive kinase state in the mutational forms. According to our results, the locally enhanced mobility of the cancer mutants and a higher conformational entropy are counterbalanced by a larger enthalpy loss and result in the decreased thermodynamic stability. The computed protein stability differences between the wild-type and cancer kinase mutants are consistent with circular dichroism spectroscopy and differential scanning calorimetry experiments. These results support the molecular mechanism of activation, which causes a detrimental imbalance in the dynamic equilibrium shifted toward the active form of the enzyme. Furthermore, computer simulations of the inhibitor binding with the oncogenic and drug-resistant RET mutations have also provided a plausible molecular rationale for the observed differences in the inhibition profiles, which is consistent with the experimental data. Finally, structural mapping of RET and MET cancer mutations and the computed protein stability changes suggest a similar mechanism of activation, whereby the cancer mutations which display the higher oncogenic activity tend to have the greatest destabilization effect on the inactive kinase structure.

Indexed as

Conserved SequenceModels, MolecularMutationComputer SimulationDrug Resistance, NeoplasmEnzyme ActivationMutant ProteinsNeoplasmsProtein ConformationProtein Kinase InhibitorsProtein StabilityProto-Oncogene ProteinsProto-Oncogene Proteins c-metProto-Oncogene Proteins c-retReceptors, Growth FactorThermodynamicsMET protein, humanMutant ProteinsProtein Kinase InhibitorsProto-Oncogene ProteinsProto-Oncogene Proteins c-metProto-Oncogene Proteins c-retReceptors, Growth Factor

Identifiers

PMID19186126
PMCPMC2716637
OpenAlexW2012490272

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.