Evidence map›Paper›PMID 41536065›Full record

ArticleBiophysical journal2026

Dynamic domain interactions encode possible CheA autophosphorylation mechanisms revealed by coarse-grained simulations.

Jian Huang, Katherine Wahlbeck Lu-Diaz, Lynmarie Thompson, Jianhan Chen

Abstract read
In one paragraph

Article in Biophysical journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Jian HuangDepartment of Chemistry, University of Massachusetts, Amherst, Massachusetts.
Katherine Wahlbeck Lu-DiazDepartment of Chemistry, University of Massachusetts, Amherst, Massachusetts.
Lynmarie ThompsonDepartment of Chemistry, University of Massachusetts, Amherst, Massachusetts. Electronic address: thompson@chem.umass.edu.
Jianhan ChenDepartment of Chemistry, University of Massachusetts, Amherst, Massachusetts. Electronic address: jianhanc@umass.edu.

Funding

CHEMISTRY-BIOLOGY INTERFACE PREDOCTORAL TRAINING GRANTST32GM008515 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI THOMPSON, LYNMARIE K. · 1995 to 2020
$4.3M
Chemistry-Biology Interface Predoctoral Training GrantT32GM139789 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI ERIC Robert STRIETER · 2021 to 2026
$3.4M
Assembly and Function of Bacterial Chemotaxis Receptor Signaling ComplexesR01GM120195 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI THOMPSON, LYNMARIE K. · 2017 to 2023
$2.1M
Disordered Proteins and Dynamic Interactions in Biology and Diseases.R35GM144045 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI Jianhan Chen · 2022 to 2026
$2.0M
NIGMS NIH HHS R01 GM120195NIGMS NIH HHS R35 GM144045NIGMS NIH HHS T32 GM008515NIGMS NIH HHS T32 GM139789
6 · The paper itself

Abstract

Autophosphorylation of CheA is key to initiation of the phosphorylation cascade that eventually controls the direction of downstream flagellar motors for chemotaxis signaling in motile bacteria. The phospho-transfer reaction, from ATP bound in the P4 catalytic domain to a specific His residue in the P1 substrate domain in CheA, can be significantly accelerated within core signaling unit complexes containing chemoreceptors, CheA and CheW. Previous studies have proposed that CheA autophosphorylation activity is regulated by changing the dynamics of P4 and/or altering its interactions with P1 in response to signals transmitted from chemoreceptors. However, the positions of CheA P1 and P2 domains in the core signaling unit are not well characterized because they form only transient interactions with other domains. Although previous studies have identified possible domain-domain interaction surfaces, especially for P1 and P4, a bottom-up analysis of these interactions has not been performed. Here, we employed extensive molecular simulations to analyze interactions among CheA domains using a hybrid resolution (HyRes) protein model designed for dynamic protein structures and interactions. The results revealed multiple major modes of dynamic P1/P4 interactions. In particular, P1 was found to bind dynamically near the preferential binding surfaces on P4 even in the ATP-free state. ATP binding to P4 reduces the motion of P1 binding and promotes a trans-productive-like mode that brings His48 in close contact with the bound ATP for possible autophosphorylation. The predicted nonproductive and productive P1/P4 interaction modes appear highly consistent with existing NMR, mutagenesis, and chemical modification data. Together, these findings provide a more complete picture of the dynamics of domain-domain interactions of CheA and new insights into the possible regulation mechanism of its autophosphorylation.

Indexed as

Methyl-Accepting Chemotaxis ProteinsMolecular Dynamics SimulationAdenosine TriphosphateAmino Acid SequencePhosphorylationProtein BindingProtein DomainsAdenosine TriphosphateMethyl-Accepting Chemotaxis Proteins

Identifiers

PMID41536065
PMCPMC12978880

What Socratic 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 Socratic graph.