Evidence map›Paper›PMID 35685356›Full record

ArticleComputational and structural biotechnology journal2022

Elucidating the molecular basis of spontaneous activation in an engineered mechanosensitive channel.

Kalyan Immadisetty, Adithya Polasa, Reid Shelton, Mahmoud Moradi

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Article
  2. AnCurrent drug targets · 2026
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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.

Kalyan ImmadisettyDepartment of Chemistry and Biochemistry, University of Arkansas, Fayetteville, AR 72701, United States.
Adithya PolasaDepartment of Chemistry and Biochemistry, University of Arkansas, Fayetteville, AR 72701, United States.
Reid SheltonDepartment of Chemistry and Biochemistry, University of Arkansas, Fayetteville, AR 72701, United States.
Mahmoud MoradiDepartment of Chemistry and Biochemistry, University of Arkansas, Fayetteville, AR 72701, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mechanosensitive channel of large conductance (MscL) detects and responds to changes in the pressure profile of cellular membranes and transduces the mechanical energy into electrical and/or chemical signals. MscL can be activated using ultrasonic or chemical activation methods to improve the absorption of medicines and bioactive compounds into cells. However, re-engineering chemical signals such as pH change can trigger channel activation in MscL. This study elucidates the activation mechanism of an engineered MscL at an atomic level through a combination of equilibrium and non-equilibrium (NE) molecular dynamics (MD) simulations. Comparing the wild-type (WT) and engineered MscL activation processes suggests that the two systems are likely associated with different active states and different transition pathways. These findings indicate that (1) periplasmic loops play a key role in the activation process of MscL, (2) the loss of various backbone-backbone hydrogen bonds and salt bridge interactions in the engineered MscL channel causes the spontaneous opening of the channel, and (3) the most significant interactions lost during the activation process are between the transmembrane helices 1 and 2 in engineered MscL channel. The orientation-based biasing approach for producing and optimizing an open MscL model used in this work is a promising way to characterize unknown protein functional states and investigate the activation processes in ion channels and transmembrane proteins in general. This work paves the way for a computational framework for engineering more efficient pH-sensing mechanosensitive channels.

Indexed as

Molecular dynamicsMscLNon-equilibrium

Identifiers

PMID35685356
PMCPMC9156883

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