Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jun 22, 2026

Combining Single-molecule Manipulation and Imaging for the Study of Protein-DNA Interactions
14:43

Combining Single-molecule Manipulation and Imaging for the Study of Protein-DNA Interactions

Published on: August 27, 2014

Analyzing single-molecule manipulation experiments.

Christopher P Calderon1, Nolan C Harris, Ching-Hwa Kiang

  • 1Department of Computational and Applied Mathematics, Rice University, Houston, TX 77005, USA. calderon@rice.edu

Journal of Molecular Recognition : JMR
|May 30, 2009
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Unsupervised Machine Learning-Based Process Analytical Tools for Near Real-Time Cell Morphology Analysis During CAR-T Cell Manufacturing.

Biotechnology and bioengineering·2025
Same author

Representative training data sets are critical for accurate machine-learning classification of microscopy images of particles formed by lipase-catalyzed polysorbate hydrolysis.

Journal of pharmaceutical sciences·2025
Same author

Stain-Free Approach to Determine and Monitor Cell Heath Using Supervised and Unsupervised Image-Based Deep Learning.

Journal of pharmaceutical sciences·2024
Same author

Features in Backgrounds of Microscopy Images Introduce Biases in Machine Learning Analyses.

Journal of pharmaceutical sciences·2024
Same author

Supervised and unsupervised machine learning approaches for monitoring subvisible particles within an aluminum-salt adjuvanted vaccine formulation.

Biotechnology and bioengineering·2024
Same author

Motion of VAPB molecules reveals ER-mitochondria contact site subdomains.

Nature·2024
Same journal

Temperature Dependent Motions of N-Terminal Loop in PD-1 Determine the Affinity Towards Nivolumab.

Journal of molecular recognition : JMR·2026
Same journal

AFM Force Volume for Extracellular Vesicle Detection and Membrane Blebbing Analysis Through Mechanical Signature Mapping.

Journal of molecular recognition : JMR·2026
Same journal

Induced Circular Dichroism From the Binding of Achiral Bivalent Ligands to Transthyretin.

Journal of molecular recognition : JMR·2026
Same journal

Design of Multi-Epitope DIVA-Compatible Vaccine Candidate Against Canine Parvovirus 2.

Journal of molecular recognition : JMR·2026
Same journal

Artificial Intelligence Clustering Approach for Force Mapping Analysis of Polyacrylic Acid (PAA)/Polyethylene Oxide (PEO) Polymer Brushes for Biosensor Applications.

Journal of molecular recognition : JMR·2026
Same journal

RPA Combined With CRISPR/Cas12a for Rapid and Ultrasensitive Detection Dual-Gene of Methicillin-Resistant Staphylococcus aureus (MRSA).

Journal of molecular recognition : JMR·2026
See all related articles

Computational techniques extract molecular friction from noisy single-molecule pulling data. This method enhances understanding of biological molecule physical properties, overcoming limitations of traditional ensemble measurements.

Area of Science:

  • Biophysics
  • Computational Biology
  • Materials Science

Background:

  • Single-molecule manipulation offers artifact-free physical property measurements of biomolecules.
  • Experimental time series data often contain noise from thermal motion and instrument errors.
  • Extracting precise information from noisy data is crucial for advancing molecular studies.

Purpose of the Study:

  • To present computational techniques for maximizing information from noisy single-molecule time series data.
  • To introduce a time-domain methodology for calculating effective molecular friction from single-molecule pulling experiments.
  • To assess the applicability and challenges of these computational methods in biophysical research.

Main Methods:

  • Development of computational techniques to analyze noisy single-molecule time series.

More Related Videos

Nanomanipulation of Single RNA Molecules by Optical Tweezers
06:59

Nanomanipulation of Single RNA Molecules by Optical Tweezers

Published on: August 20, 2014

Single-Molecule Dwell-Time Analysis of Restriction Endonuclease-Mediated DNA Cleavage
09:53

Single-Molecule Dwell-Time Analysis of Restriction Endonuclease-Mediated DNA Cleavage

Published on: February 7, 2021

Related Experiment Videos

Last Updated: Jun 22, 2026

Combining Single-molecule Manipulation and Imaging for the Study of Protein-DNA Interactions
14:43

Combining Single-molecule Manipulation and Imaging for the Study of Protein-DNA Interactions

Published on: August 27, 2014

Nanomanipulation of Single RNA Molecules by Optical Tweezers
06:59

Nanomanipulation of Single RNA Molecules by Optical Tweezers

Published on: August 20, 2014

Single-Molecule Dwell-Time Analysis of Restriction Endonuclease-Mediated DNA Cleavage
09:53

Single-Molecule Dwell-Time Analysis of Restriction Endonuclease-Mediated DNA Cleavage

Published on: February 7, 2021

  • Application of time-domain methods to extract effective molecular friction.
  • Testing the methodology on single-molecule pulling data from titin I27 domains.

    • Main Results:

    • Demonstrated computational techniques effectively utilize information from noisy single-molecule data.
    • Successfully extracted effective molecular friction using time-domain analysis.
    • Validated the modeling approach on a specific biological system (titin I27 domains).

    Conclusions:

    • Computational methods can significantly enhance the analysis of single-molecule manipulation data.
    • The developed time-domain approach provides a robust way to determine molecular friction.
    • The methodology has broad applicability to various single-molecule mechanical studies.