Evidence map›Paper›PMID 24584478›Full record

ArticleNature communications2014

Activation pathway of Src kinase reveals intermediate states as targets for drug design.

Diwakar Shukla, Yilin Meng, Benoît Roux, Vijay S Pande

Open access · bronzeAbstract read
In one paragraph

Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 168 papers.

0numbers the graph read from it
0cells of the map it votes in
168citing papers in PubMed
18.6field-weighted citation impact, top 1% 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

168 citing papers in PubMed, 352 citations in OpenAlex.

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  14. Exploring the conformational landscape of protein kinases.Current opinion in structural biology · 2024
    Review
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108 more citing papers are in PubMed but not listed here.

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.

Diwakar Shukla1] Department of Chemistry, Stanford University, Stanford, California 94305, USA [2] SIMBIOS NIH Center for biomedical computation, Stanford University, Stanford, California 94305, USA.
Yilin MengDepartment of Biochemistry and Molecular Biology, Gordon Center for Integrative Science, The University of Chicago, Chicago, Illinois 60637, USA.
Benoît Roux1] Department of Biochemistry and Molecular Biology, Gordon Center for Integrative Science, The University of Chicago, Chicago, Illinois 60637, USA [2] Biosciences Division, Argonne National Laboratory, Argonne, Illinois 60439, USA.
Vijay S Pande1] Department of Chemistry, Stanford University, Stanford, California 94305, USA [2] SIMBIOS NIH Center for biomedical computation, Stanford University, Stanford, California 94305, USA.
Stanford University · USUniversity of Chicago · US

Funding

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 CA093577NCI NIH HHS R01 CA093577NIGMS NIH HHS U54 GM07297
6 · The paper itself

Abstract

Unregulated activation of Src kinases leads to aberrant signalling, uncontrolled growth and differentiation of cancerous cells. Reaching a complete mechanistic understanding of large-scale conformational transformations underlying the activation of kinases could greatly help in the development of therapeutic drugs for the treatment of these pathologies. In principle, the nature of conformational transition could be modelled in silico via atomistic molecular dynamics simulations, although this is very challenging because of the long activation timescales. Here we employ a computational paradigm that couples transition pathway techniques and Markov state model-based massively distributed simulations for mapping the conformational landscape of c-src tyrosine kinase. The computations provide the thermodynamics and kinetics of kinase activation for the first time, and help identify key structural intermediates. Furthermore, the presence of a novel allosteric site in an intermediate state of c-src that could be potentially used for drug design is predicted.

Indexed as

Drug DesignAllosteric SiteComputational BiologyHumansMolecular Dynamics Simulationsrc-Family KinasesThermodynamicssrc-Family Kinases

Identifiers

PMID24584478
PMCPMC4465921
OpenAlexW1978607920

What OpenQuestion holds

Textmetadata
LicenceTDM
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.