Evidence map›Paper›PMID 40102060›Full record

ArticleJournal of chemical theory and computation2025

Ion Channel Reaction Networks: Dielectric Screening and the Importance of Off-Pathway Flux.

Hannah Weckel-Dahman, Ryan Carlsen, Alexander Daum, Maxwell He, Tyler G Southam, Jessica M J Swanson

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Hannah Weckel-DahmanDepartment of Chemistry, University of Utah, Salt Lake City, Utah 84112, United States.
Ryan CarlsenDepartment of Chemistry, University of Utah, Salt Lake City, Utah 84112, United States.
Alexander DaumDepartment of Chemistry, University of Utah, Salt Lake City, Utah 84112, United States.
Maxwell HeDepartment of Computer Science, Northeastern University, Boston, Massachusetts 02115, United States.
Tyler G SouthamDepartment of Chemistry, University of Utah, Salt Lake City, Utah 84112, United States.
Jessica M J SwansonDepartment of Chemistry, University of Utah, Salt Lake City, Utah 84112, United States.ORCID 0000-0002-9820-1307

Funding

Integrating Stochasticity into Biomolecular Mechanisms: A New Direction for Biomolecular ModelingR35GM143117 · NIGMS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI SWANSON, JESSICA · 2021 to 2025
$1.9M
NIGMS NIH HHS R35 GM143117
6 · The paper itself

Abstract

The transport of ions through channels involves multiple rare-event transitions through a web of interconnected intermediates. Extracting open channel mechanisms generally requires quantifying the relative flux through these intermediates in response to a range of electrochemical gradients. Although this is ideally suited to network-based representations like Markov state models (MSMs), the relative contributions from different pathways and the importance of network resolution remain open areas of research. Herein, we use a complementary approach called multiscale responsive kinetic modeling (MsRKM) to explore how the screening of ionic interactions and the competition between multiple mechanistic pathways contribute to channel mechanisms and current profiles of ion channels. We find that explicitly optimizing screened ionic interactions in the MsRKM framework vastly reduces the solution search space, enabling more efficient identification of physically robust solutions. Using a model of the Shaker Kv channel, we demonstrate that even when systems are well described by a single dominant flux pathway, the remaining contributing pathways and off-pathway flux play multiple essential roles, including shifting current profiles and mechanisms in response to different electrochemical gradients. We additionally discover that the current continues to change above the experimentally predicted saturation point. Model systems explain how the degree of dielectric screening influences channel occupancy, the number of contributing pathways, and why current increases or decreases above its experimental saturation point. Our findings emphasize the importance of retaining a full network description to identify and understand ion channel mechanisms.

Identifiers

PMID40102060
PMCPMC12850326

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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.