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

The antigenic index: a novel algorithm for predicting antigenic determinants.

B A Jameson1, H Wolf

  • 1Division of Biology, California Institute of Technology, Pasadena, CA 91125.

Computer Applications in the Biosciences : CABIOS
|March 1, 1988
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

Rational design of cytotoxic T-cell inhibitors.

Nature biotechnology·2000
Same author

Structure and function of procollagen C-proteinase (mTolloid) domains determined by protease digestion, circular dichroism, binding to procollagen type I, and computer modeling.

Biochemistry·2000
Same author

Domain 5 of high molecular weight kininogen (kininostatin) down-regulates endothelial cell proliferation and migration and inhibits angiogenesis.

Blood·2000
Same author

A synthetic mimetic of CD4 is able to suppress disease in a rodent model of immune colitis.

European journal of immunology·1999
Same author

A structure-based approach to designing synthetic CD8alpha peptides that can inhibit cytotoxic T-lymphocyte responses.

Nature medicine·1998
Same author

Coagulation factor IX residues G4-Q11 mediate its interaction with a shared factor IX/IXa binding site on activated platelets but not the assembly of the functional factor X activating complex.

Biochemistry·1998
Same journal

DCA: an efficient implementation of the divide-and-conquer approach to simultaneous multiple sequence alignment.

Computer applications in the biosciences : CABIOS·1998
Same journal

Two applications to facilitate the viewing of database search result files on the Macintosh.

Computer applications in the biosciences : CABIOS·1998
Same journal

BioWish: a molecular biology command extension to Tcl/Tk.

Computer applications in the biosciences : CABIOS·1998
Same journal

The Sequence Alerting Server--a new WEB server.

Computer applications in the biosciences : CABIOS·1998
Same journal

A software tool for the analysis of mass spectrometric disulfide mapping experiments.

Computer applications in the biosciences : CABIOS·1998
Same journal

SAMBA: hardware accelerator for biological sequence comparison.

Computer applications in the biosciences : CABIOS·1998
See all related articles

This study presents a novel algorithm that predicts protein's surface features and potential antigenic sites directly from its amino acid sequence, aiding in the identification of antigenic determinants.

Area of Science:

  • * Computational biology
  • * Protein structure prediction
  • * Immunoinformatics

Background:

  • * Understanding protein structure and surface accessibility is crucial for identifying antigenic sites.
  • * Predicting these features from primary amino acid sequences remains a challenge.

Purpose of the Study:

  • * To introduce a computer algorithm for predicting protein topological features directly from amino acid sequences.
  • * To develop a method for identifying potential antigenic determinants based on predicted surface properties.

Main Methods:

  • * Algorithm development integrating surface accessibility, backbone flexibility, and secondary structure predictions.
  • * Calculation of an "antigenic index" to generate a linear surface contour profile.
  • * Validation using well-characterized proteins with known structural and biological data.

Related Experiment Videos

Main Results:

  • * The algorithm accurately predicts surface accessibility, flexibility, and secondary structure.
  • * The "antigenic index" effectively generates surface contour profiles.
  • * Strong correlation observed between predicted antigenic sites and known antigenic determinants.

Conclusions:

  • * The developed algorithm provides a reliable method for predicting protein antigenic sites from primary sequences.
  • * This tool can significantly aid in the identification of potential antigenic determinants for vaccine design and diagnostics.