Evidence map›Paper›PMID 39131358›Full record

ArticlebioRxiv : the preprint server for biology2024

Multiscale Responsive Kinetic Modeling: Quantifying Biomolecular Reaction Flux under Varying Electrochemical Conditions.

Hannah Weckel-Dahman, Ryan Carlsen, Jessica M J Swanson

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Hannah Weckel-DahmanDepartment of Chemistry, University of Utah, Salt Lake City, UT, 84112 - United States of America.ORCID 0000-0003-2834-8386
Ryan CarlsenDepartment of Chemistry, University of Utah, Salt Lake City, UT, 84112 - United States of America.ORCID 0009-0005-6213-1182
Jessica M J SwansonDepartment of Chemistry, University of Utah, Salt Lake City, UT, 84112 - United States of America.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

Attaining a complete thermodynamic and kinetic characterization for processes involving multiple interconnected rare-event transitions remains a central challenge in molecular biophysics. This challenge is amplified when the process must be understood under a range of reaction conditions. Herein, we present a condition-responsive kinetic modeling framework that can combine the strengths of bottom-up rate quantification from multiscale simulations with top-down solution refinement using experimental data. Although this framework can be applied to any process, we demonstrate its use for electrochemically driven transport through channels and transporters. Using the Cl

Identifiers

PMID39131358
PMCPMC11312519

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.