Evidence map›Paper›PMID 34923310›Full record

ReviewCurrent opinion in structural biology2022

Multiscale kinetic analysis of proteins.

Jessica Mj Swanson

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Multistate Kinetic Model of the Sodium-Potassium ATPase.The journal of physical chemistry. B · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Kinetic model for reversible radical transfer in ribonucleotide reductase.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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

1 author.

Jessica Mj SwansonDepartment of Chemistry, Biological Chemistry Program, and Center for Cell and Genome Science University of Utah; 315 South 1400 East, Rm 2020; Salt Lake City, UT 84112-0850, USA. Electronic address: j.swanson@utah.edu.

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 stochasticity of molecular motion results in the existence of multiple kinetically relevant pathways in many biomolecular mechanisms. Because it is highly demanding to characterize them for complex systems, mechanisms are often described with a single-pathway perspective. However, kinetic network analysis and sub-ensemble experimental insight are increasingly demonstrating not only the existence of competing pathways but also the importance of kinetic selection in biology. This review focuses on advances in multiscale kinetic analysis of proteins, which connects molecular level information from simulations to macroscopic data to characterize mechanistic reaction networks and the reactive flux through them. We describe a range of methods used and highlight several examples where kinetic modeling has revealed functional importance of pathway heterogeneity.

Indexed as

ProteinsKineticsProteinsKinetic network analysisKinetic proofreadingKinetic selectionMultiscale kinetic modelingMultiscale modeling

Identifiers

PMID34923310
PMCPMC9288830

What OpenQuestion holds

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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 OpenQuestion graph.