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 Videos

Implementation of an algorithm for modeling disulfide bond patterns using mass spectrometry.

R Craig1, O Krokhin, J Wilkins

  • 1Manitoba Centre for Proteomics, University of Manitoba, Winnipeg, MB Canada.

Journal of Proteome Research
|December 25, 2003
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

Peri-operative care of patients undergoing robotic-assisted bronchoscopy under general anaesthesia - a single-centre retrospective cohort study.

Anaesthesia reports·2026
Same author

Regional variability in the Acheulian to Middle Stone Age transition in southern Africa.

Scientific reports·2026
Same author

To Fidelity and Beyond: Development of an Implementation Fidelity Tool for Early Intervention for Eating Disorders Services.

Early intervention in psychiatry·2026
Same author

Racial and ethnic disparities in postpartum pain: a systematic review.

International journal of obstetric anesthesia·2025
Same author

Annotating the X-ray diffraction pattern of vertebrate striated muscle.

bioRxiv : the preprint server for biology·2025
Same author

Timing matters: expanding the role of intravenous dexamethasone in caesarean delivery. A letter to the Editor.

International journal of obstetric anesthesia·2025
Same journal

Proteomic Profiling of Endothelial Cells Under Laminar Shear Stress Confirms the Importance of KLF4 in the Regulation of Membrane Protein Expression Compared to Oscillatory Flow.

Journal of proteome research·2026
Same journal

Identification of Age-Associated Circulating Proteins and Lipids in 3800 Comorbidity-Enriched Older Adults from Japan-Based Cohorts Using Olink Assays and MRM Mass Spectrometry.

Journal of proteome research·2026
Same journal

Molecular Solution to the Paradox of Ancient Brain Preservation.

Journal of proteome research·2026
Same journal

From Method-Defined Signals to Reference Measurement Procedures: Two Decades of Mass Spectrometry-Based ProGRP Quantification.

Journal of proteome research·2026
Same journal

Proteomic Profiling of Extracellular Vesicle-Enriched Plasma Using Mag-Net for Biomarker Discovery in Pancreatic Ductal Adenocarcinoma.

Journal of proteome research·2026
Same journal

Computationally Efficient Bayesian Estimation of Graphical Networks for Omics Data.

Journal of proteome research·2026
See all related articles

A new software system implements the Fenyö disulfide bond assignment algorithm for modeling protein structures. This tool aids researchers in analyzing mass spectrometry data to predict disulfide bonding patterns, with accessible code and a web version available.

Area of Science:

  • Computational Biology
  • Structural Biology
  • Bioinformatics

Background:

  • Disulfide bonds are crucial for protein structure and stability.
  • Accurate prediction of disulfide bonding patterns is essential for understanding protein function.
  • Existing methods for disulfide bond assignment can be computationally intensive or limited in scope.

Purpose of the Study:

  • To implement and provide access to a software system for disulfide bond assignment based on the Fenyö algorithm.
  • To enable researchers to model disulfide bonding patterns using mass spectrometry data and protein sequences.
  • To validate the software's utility in analyzing disulfide bonds in biologically relevant proteins, such as human integrins.

Main Methods:

  • Development of a software system integrating the Fenyö disulfide bond assignment algorithm.

Related Experiment Videos

  • Inputting experimental data including mass spectrum peak assignments, target protein sequences, and experimental conditions.
  • Generating disulfide bonding pattern models consistent with empirical evidence.

    • Main Results:

    • Successful implementation of a functional software system for disulfide bond modeling.
    • Availability of the software and source code via a public website.
    • Demonstration of the system's application in analyzing disulfide bonding patterns of human integrins.

    Conclusions:

    • The developed software provides a valuable tool for predicting disulfide bonds in proteins.
    • The system enhances the analysis of mass spectrometry data for structural biology research.
    • Public accessibility of the software promotes wider adoption and research in protein structure determination.