Evidence map›Paper›PMID 34647743›Full record

ArticleJournal of chemical theory and computation2021

Activation of Abl1 Kinase Explored Using Well-Tempered Metadynamics Simulations on an Essential Dynamics Sampled Path.

Baswanth Oruganti, Ran Friedman

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Weighted Ensemble Simulations With the Drude Polarizable Model.Journal of computational chemistry · 2025
    Article
  2. Review
  3. Molecular mechanism of Arp2/3 complex activation by nucleation-promoting factors and an actin monomer.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Allosteric regulation of autoinhibition and activation of c-Abl.Computational and structural biotechnology journal · 2022
    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.

Baswanth OrugantiDepartment of Chemistry and Biomedical Sciences, Faculty of Health and Life Sciences, Linnæus University, 391 82 Kalmar, Sweden.ORCID https://orcid.org/0000-0002-4199-2750
Ran FriedmanDepartment of Chemistry and Biomedical Sciences, Faculty of Health and Life Sciences, Linnæus University, 391 82 Kalmar, Sweden.ORCID https://orcid.org/0000-0001-8696-3104

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Well-tempered metadynamics (wT-metaD) simulations using path collective variables (CVs) have been successfully applied in recent years to explore conformational transitions in protein kinases and other biomolecular systems. While this methodology has the advantage of describing the transitions with a limited number of predefined path CVs, it requires as an input a reference path connecting the initial and target states of the system. It is desirable to automate the path generation using approaches that do not rely on the choice of geometric CVs to describe the transition of interest. To this end, we developed an approach that couples essential dynamics sampling with wT-metaD simulations. We used this newly developed procedure to explore the activation mechanism of Abl1 kinase and compute the associated free energy barriers. Through these simulations, we identified a three-step mechanism for the activation that involved two metastable intermediates that possessed a partially open activation loop and differed primarily in the "in" or "out" conformation of the aspartate residue of the DFG motif. One of these states is similar to a conformation that was detected in previous spectroscopic studies of Abl1 kinase, albeit its mechanistic role in the activation was hitherto not well understood. The present study establishes its intermediary role in the activation and predicts a rate-determining free energy barrier of 13.8 kcal/mol that is in good agreement with previous experimental and computational estimates. Overall, our study demonstrates the usability of essential dynamics sampling as a path CV in wT-metaD to conveniently study conformational transitions and accurately calculate the associated barriers.

Indexed as

Molecular Dynamics SimulationEntropyProto-Oncogene Proteins c-ablThermodynamicsProto-Oncogene Proteins c-abl

Identifiers

PMID34647743
PMCPMC8582261

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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.