Evidence map›Paper›PMID 33248132›Full record

ArticleBiophysical journal2021

Computational Tool for Ensemble Averaging of Single-Molecule Data.

Thomas Blackwell, W Tom Stump, Sarah R Clippinger, Michael J Greenberg

Abstract read
In one paragraph

Article in Biophysical journal, 2021. 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

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

6 citing papers in PubMed.

  1. Danicamtiv reduces myosin's working stroke but activates the thin filament by accelerating actomyosin attachment.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Article
  3. Article
  4. Endocytic myosin-1 is a force-insensitive, power-generating motor.bioRxiv : the preprint server for biology · 2023
    Article
  5. Article
  6. 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

4 authors.

Thomas BlackwellDepartment of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, Missouri.
W Tom StumpDepartment of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, Missouri.
Sarah R ClippingerDepartment of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, Missouri.
Michael J GreenbergDepartment of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, Missouri. Electronic address: greenberg@wustl.edu.

Funding

Regulation of cardiac power output in health and diseaseR01HL141086 · NHLBI · WASHINGTON UNIVERSITY · PI GREENBERG, MICHAEL J · 2018 to 2022
$2.7M
INTERDISCIPLINARY TRAINING IN MECHANOBIOLOGY FROM NM TO CMT32EB018266 · NIBIB · WASHINGTON UNIVERSITY · PI BAYLY, PHILIP V · 2014 to 2018
$987k
NHLBI NIH HHS R01 HL141086NIBIB NIH HHS T32 EB018266
6 · The paper itself

Abstract

Molecular motors couple chemical transitions to conformational changes that perform mechanical work in a wide variety of biological processes. Disruption of this coupling can lead to diseases, and therefore there is a need to accurately measure mechanochemical coupling in motors in both health and disease. Optical tweezers with nanometer spatial and millisecond temporal resolution have provided valuable insights into these processes. However, fluctuations due to Brownian motion can make it difficult to precisely resolve these conformational changes. One powerful analysis technique that has improved our ability to accurately measure mechanochemical coupling in motor proteins is ensemble averaging of individual trajectories. Here, we present a user-friendly computational tool, Software for Precise Analysis of Single Molecules (SPASM), for generating ensemble averages of single-molecule data. This tool utilizes several conceptual advances, including optimized procedures for identifying single-molecule interactions and the implementation of a change-point algorithm, to more precisely resolve molecular transitions. Using both simulated and experimental data, we demonstrate that these advances allow for accurate determination of the mechanics and kinetics of the myosin working stroke with a smaller set of data. Importantly, we provide our open-source MATLAB-based program with a graphical user interface that enables others to readily apply these advances to the analysis of their own data.

Indexed as

NanotechnologyOptical TweezersKinesinsKineticsMyosinsKinesinsMyosins

Identifiers

PMID33248132
PMCPMC7820714

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.