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

Servers for sequence-structure relationship analysis and prediction.

Zsuzsanna Dosztányi1, Csaba Magyar, Gábor E Tusnády

  • 1Institute of Enzymology, Biological Research Center, Hungarian Academy of Sciences, H-1518 Budapest, PO Box 7, Hungary.

Nucleic Acids Research
|June 26, 2003
PubMed
Summary

This study presents algorithms and public servers for analyzing protein structures, including cysteine redox states and non-covalent cross-links. These tools aid in predicting protein features and identifying transmembrane proteins for biological applications.

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

Decoding the Apical-Basal Surfaceome of Colon Epithelial Cells via Side-Selective Biotinylation.

Biomolecules·2026
Same author

XL-MS-Guided Structure Prediction of Disordered <i>Encephalitozoon hellem</i> Proteins.

bioRxiv : the preprint server for biology·2026
Same author

Preparing for life beyond sport: dual career awareness, developmental environment, and future orientation in adolescent handball.

Frontiers in psychology·2026
Same author

Conservation of Human IgSF Proteins Throughout Eukaryotic Evolution.

Genome biology and evolution·2026
Same author

High school health education: focus on the development of self-assessment.

BMC public health·2026
Same author

Pathogenic variations illuminate functional constraints in intrinsically disordered proteins.

iScience·2026

Area of Science:

  • Structural bioinformatics
  • Computational biology
  • Protein structure analysis

Background:

  • Protein structure analysis is crucial for understanding biological function.
  • Identifying specific structural features like cysteine redox states and cross-links is challenging.
  • Predicting transmembrane proteins is essential for genomics and drug discovery.

Purpose of the Study:

  • To describe novel algorithms and public servers for protein structure analysis.
  • To provide tools for predicting cysteine redox states (CYSREDOX) and non-covalent cross-links (SCIDE, SCPRED).
  • To present methods for identifying helical transmembrane proteins (DAS, HMMTOP) from large datasets.

Main Methods:

  • Development of specialized algorithms for protein structure feature prediction.

Related Experiment Videos

  • Implementation of public web servers for accessible analysis.
  • Utilizing established methods like DAS and HMMTOP for transmembrane protein identification.

    • Main Results:

    • Successful development and presentation of servers for CYSREDOX, SCIDE, and SCPRED.
    • Demonstration of DAS and HMMTOP for effective transmembrane protein prediction.
    • Highlighting biologically relevant applications of the developed servers.

    Conclusions:

    • The presented servers and algorithms offer valuable tools for protein structure analysis.
    • These computational resources facilitate research in structural biology and genomics.
    • The accessibility of these servers aids in diverse biological investigations.