Evidence map›Paper›PMID 33990583›Full record

ArticleNature communications2021

Exploring ligand binding pathways on proteins using hypersound-accelerated molecular dynamics.

Mitsugu Araki, Shigeyuki Matsumoto, Gert-Jan Bekker, Yuta Isaka, Yukari Sagae, Narutoshi Kamiya, Yasushi Okuno

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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  9. Molecular Dynamics as a Tool for Virtual Ligand Screening.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. On the force field optimisation ofJournal of computer-aided molecular design · 2022
    Article
  15. Article
  16. Review
  17. Probing the Suitability of Different CaMolecules (Basel, Switzerland) · 2021
    Article
  18. Review
  19. Review
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

7 authors.

Mitsugu ArakiGraduate School of Medicine, Kyoto University, Kyoto, Japan. araki.mitsugu.6w@kyoto-u.ac.jp.ORCID 0000-0002-7810-4905
Shigeyuki MatsumotoMedical Sciences Innovation Hub Program, RIKEN Cluster for Science, Technology and Innovation Hub, Yokohama, Japan.ORCID 0000-0001-9329-6362
Gert-Jan BekkerInstitute for Protein Research, Osaka University, Osaka, Japan.ORCID 0000-0001-8385-5693
Yuta IsakaResearch and Development Group for In Silico Drug Discovery, Center for Cluster Development and Coordination (CCD), Foundation for Biomedical Research and Innovation at Kobe (FBRI), Kobe, Japan.
Yukari SagaeGraduate School of Medicine, Kyoto University, Kyoto, Japan.
Narutoshi KamiyaGraduate School of Simulation Studies, University of Hyogo, Kobe, Japan.
Yasushi OkunoGraduate School of Medicine, Kyoto University, Kyoto, Japan. okuno.yasushi.4c@kyoto-u.ac.jp.ORCID 0000-0003-3596-4208

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Capturing the dynamic processes of biomolecular systems in atomistic detail remains difficult despite recent experimental advances. Although molecular dynamics (MD) techniques enable atomic-level observations, simulations of "slow" biomolecular processes (with timescales longer than submilliseconds) are challenging because of current computer speed limitations. Therefore, we developed a method to accelerate MD simulations by high-frequency ultrasound perturbation. The binding events between the protein CDK2 and its small-molecule inhibitors were nearly undetectable in 100-ns conventional MD, but the method successfully accelerated their slow binding rates by up to 10-20 times. Hypersound-accelerated MD simulations revealed a variety of microscopic kinetic features of the inhibitors on the protein surface, such as the existence of different binding pathways to the active site. Moreover, the simulations allowed the estimation of the corresponding kinetic parameters and exploring other druggable pockets. This method can thus provide deeper insight into the microscopic interactions controlling biomolecular processes.

Indexed as

High-Energy Shock WavesMolecular Dynamics SimulationCyclin-Dependent Kinase 2HumansKineticsLigandsProtein BindingProtein ConformationProtein Kinase InhibitorsProteinsCDK2 protein, humanCyclin-Dependent Kinase 2LigandsProtein Kinase InhibitorsProteins

Identifiers

PMID33990583
PMCPMC8121818

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.