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

Proteinmorphosis: a mechanical model for protein conformational changes.

S Meiyappan1, R Raghavan, R Viswanathan

  • 1Centre for Information Enhanced Medicine (CIEMED), National University of Singapore, Singapore.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|June 25, 1999
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

Morpho-Molecular Characterization and Technique for Induction of Growth, Sporulation in Cercospora longipes Causing Brown Spot Disease in Sugarcane.

Current microbiology·2026
Same author

Transient expression of small secreted proteins of Colletotrichum falcatum elicits broad-spectrum disease resistance in tobacco.

Plant cell reports·2026
Same author

Computational Prediction of Multiple Antigen Epitopes.

bioRxiv : the preprint server for biology·2024
Same author

Computational Methods to Predict Conformational B-Cell Epitopes.

Biomolecules·2024
Same author

Prospecting true ScYLV resistance in <i>Saccharum</i> hybrid parental population in India by symptom phenotyping and viral titre quantification.

3 Biotech·2023
Same author

A Framework on Performance Analysis of Mathematical Model-Based Classifiers in Detection of Epileptic Seizure from EEG Signals with Efficient Feature Selection.

Journal of healthcare engineering·2022
Same journal

Trust, Reproducibility, and Progress: The Roles of Independent Blind Prediction and Assessment and Benchmarking in Computational Biology.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

The Evolving Cyberinfrastructure at the National Institutes of Health to Support Data and AI in Biomedical Research.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

Applications of AI & ML in Biomanufacturing of Cell and Gene Therapies.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

AI for Health: Leveraging Artificial Intelligence to Revolutionize Healthcare.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

Workshop Introduction: Advances of AI Methods in Single Cell Spatial Omics.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

DRIVE-KG: Enhancing variant-phenotype association discovery in understudied complex diseases using heterogeneous knowledge graphs.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
See all related articles

Proteinmorphosis simulates protein conformational changes using interactive geometric constraints and a finite element method. This physically-based system accurately models protein dynamics, as shown in calmodulin and hemoglobin binding studies.

Area of Science:

  • Biophysics
  • Computational Biology
  • Structural Biology

Background:

  • Simulating protein conformational changes is crucial for understanding biological functions.
  • Existing methods may lack interactivity or the ability to incorporate detailed physical properties.

Purpose of the Study:

  • To introduce Proteinmorphosis, a novel physically-based interactive system for modeling protein conformational changes.
  • To validate the system's accuracy and utility in simulating biologically relevant protein dynamics.

Main Methods:

  • Proteinmorphosis utilizes a finite element formalism to compute molecular conformations based on user-defined geometric distance constraints.
  • The system incorporates protein backbone elasticity, van der Waals forces, hydrogen bonds, and salt bridges.

Related Experiment Videos

  • Interactive visualization and manipulation allow users to guide the simulation process.

    • Main Results:

    • The system successfully reproduced the conformational change of calmodulin upon peptide binding.
    • Proteinmorphosis was employed to study the cooperative hemoglobin oxygen binding mechanism, yielding results consistent with existing hypotheses.
    • The interactive and physically-based approach proved effective for exploring allosteric binding processes.

    Conclusions:

    • Proteinmorphosis provides an effective and interactive platform for simulating protein conformational changes.
    • The system's ability to integrate physical properties and user-defined constraints enhances the study of complex molecular mechanisms.
    • This approach offers a valuable tool for advancing research in structural biology and computational biophysics.