Evidence map›Paper›PMID 36222098›Full record

ArticleThe journal of physical chemistry. B2022

Role of Repeated Conformational Transitions in Substrate Binding of Adenylate Kinase.

Jiajun Lu, David Scheerer, Gilad Haran, Wenfei Li, Wei Wang

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  13. Allosteric communication between ligand binding domains modulates substrate inhibition in adenylate kinase.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  14. 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

5 authors.

Jiajun LuDepartment of Physics, National Laboratory of Solid State Microstructure, Nanjing University, Nanjing210093, China.
David ScheererDepartment of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot761001, Israel.
Gilad HaranDepartment of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot761001, Israel.ORCID 0000-0003-1837-9779
Wenfei LiDepartment of Physics, National Laboratory of Solid State Microstructure, Nanjing University, Nanjing210093, China.ORCID 0000-0003-2679-4075
Wei WangDepartment of Physics, National Laboratory of Solid State Microstructure, Nanjing University, Nanjing210093, China.ORCID 0000-0001-5441-0302

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The catalytic cycle of the enzyme adenylate kinase involves large conformational motions between open and closed states. A previous single-molecule experiment showed that substrate binding tends to accelerate both the opening and the closing rates and that a single turnover event often involves multiple rounds of conformational switching. In this work, we showed that the repeated conformational transitions of adenylate kinase are essential for the relaxation of incorrectly bound substrates into the catalytically competent conformation by combining all-atom and coarse-grained molecular simulations. In addition, free energy calculations based on all-atom and coarse-grained models demonstrated that the enzyme with incorrectly bound substrates has much a lower free energy barrier for domain opening compared to that with the correct substrate conformation, which may explain the the acceleration of the domain opening rate by substrate binding. The results of this work provide mechanistic understanding to previous experimental observations and shed light onto the interplay between conformational dynamics and enzyme catalysis.

Indexed as

Adenylate KinaseMolecular Dynamics SimulationCatalysisProtein ConformationAdenylate Kinase

Identifiers

PMID36222098
PMCPMC9589722

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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.