Evidence map›Paper›PMID 27482115›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Transition path theory analysis of c-Src kinase activation.

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

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
  2. De novo Folding Mechanisms of Lasso Peptides.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Topological Analysis Reveals Multiple Pathways in Molecular Dynamics.Journal of chemical theory and computation · 2025
    Article
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  7. Article
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  15. Pre-exascale HPC approaches for molecular dynamics simulations. Covid-19 research: A use case.Wiley interdisciplinary reviews. Computational molecular science · 2022
    Article
  16. Article
  17. Allosteric regulation of autoinhibition and activation of c-Abl.Computational and structural biotechnology journal · 2022
    Article
  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.

Yilin MengDepartment of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL 60637;
Diwakar ShuklaDepartment of Chemistry, Stanford University, Stanford, CA 94305; Simulation of Biological Structures NIH Center for Biomedical Computation, Stanford University, Stanford, CA 94305.
Vijay S PandeDepartment of Chemistry, Stanford University, Stanford, CA 94305; Simulation of Biological Structures NIH Center for Biomedical Computation, Stanford University, Stanford, CA 94305.
Benoît RouxDepartment of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL 60637; roux@uchicago.edu.

Funding

Physics-based Simulation of Biological Structures(RMI)U54GM072970 · NIGMS · STANFORD UNIVERSITY · PI ALTMAN, RUSS BIAGIO · 2004 to 2013
$33.5M
Beagle: A Supercomputer for Computational Biology, Simulation, and Data AnalysisS10RR029030 · NCRR · UNIVERSITY OF CHICAGO · PI FOSTER, IAN · 2010 to 2010
$7.0M
NCRR NIH HHS S10 RR029030NIGMS NIH HHS U54 GM072970
6 · The paper itself

Abstract

Nonreceptor tyrosine kinases of the Src family are large multidomain allosteric proteins that are crucial to cellular signaling pathways. In a previous study, we generated a Markov state model (MSM) to simulate the activation of c-Src catalytic domain, used as a prototypical tyrosine kinase. The long-time kinetics of transition predicted by the MSM was in agreement with experimental observations. In the present study, we apply the framework of transition path theory (TPT) to the previously constructed MSM to characterize the main features of the activation pathway. The analysis indicates that the activating transition, in which the activation loop first opens up followed by an inward rotation of the αC-helix, takes place via a dense set of intermediate microstates distributed within a fairly broad "transition tube" in a multidimensional conformational subspace connecting the two end-point conformations. Multiple microstates with negligible equilibrium probabilities carry a large transition flux associated with the activating transition, which explains why extensive conformational sampling is necessary to accurately determine the kinetics of activation. Our results suggest that the combination of MSM with TPT provides an effective framework to represent conformational transitions in complex biomolecular systems.

Indexed as

Catalytic DomainCSK Tyrosine-Protein KinaseEnzyme ActivationMarkov ChainsMolecular Dynamics SimulationProtein Conformationsrc-Family KinasesThermodynamicsCSK Tyrosine-Protein Kinasesrc-Family Kinasesconformational transitionMarkov state modelstransition path theory

Identifiers

PMID27482115
PMCPMC4995974

What OpenQuestion holds

Textmetadata
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.