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

CASP2: report on ab initio predictions

A M Lesk1

  • 1Department of Haematology, University of Cambridge Clinical School, United Kingdom.

Proteins
|January 1, 1997
PubMed
Summary
This summary is machine-generated.

This study evaluated ab initio protein structure prediction methods. Rost's PHD program excelled in secondary structure prediction, while 3D coordinate prediction showed limited success, with one notable exception.

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

Assessment of novel fold targets in CASP4: predictions of three-dimensional structures, secondary structures, and interresidue contacts.

Proteins·2002
Same author

Modularity and homology: modelling of the titin type I modules and their interfaces.

Journal of molecular biology·2001
Same author

Protein structural alignments and functional genomics.

Proteins·2001
Same author

Phylogeny of the serpin superfamily: implications of patterns of amino acid conservation for structure and function.

Genome research·2000
Same author

Conformational changes in serpins: II. The mechanism of activation of antithrombin by heparin.

Journal of molecular biology·2000
Same author

Antibody modeling: implications for engineering and design.

Methods (San Diego, Calif.)·2000
Same journal

BioMatics 1.0: A Wasserstein Distance Approach for Next-Generation Multiple Sequence Alignment.

Proteins·2026
Same journal

Engineered HSP90-MP65 Bivalent Fusion Antigen: A Novel Vaccine Candidate Against Invasive Candidiasis.

Proteins·2026
Same journal

Physics-Based Energy Functions for Computational Protein Design.

Proteins·2026
Same journal

Impact of Stabilizing Osmolytes on the Conformational Dynamics of Human and Rat Islet Amyloid Polypeptides.

Proteins·2026
Same journal

Stabilization of Bone Morphogenetic Protein-2 at Physiological pH: Contrasting Roles of CHAPS and Arginine in Aggregation Inhibition.

Proteins·2026
Same journal

Structural Insights Into the Function of Leishmania major Adenylosuccinate Lyase.

Proteins·2026
See all related articles

Area of Science:

  • Computational Biology
  • Structural Bioinformatics
  • Protein Structure Prediction

Background:

  • Ab initio protein structure prediction aims to determine a protein's 3D structure from its amino acid sequence alone.
  • Accurate structure prediction is crucial for understanding protein function and designing novel proteins.

Purpose of the Study:

  • To assess the performance of various computational methods in ab initio protein structure prediction.
  • To identify successful strategies for predicting secondary structure, 3D coordinates, oligomerization, and contact patterns.

Main Methods:

  • Evaluation of submitted predictions for secondary structure, 3D coordinates, oligomerization modes, and contact patterns.
  • Utilizing the Q3 score (percentage of correctly assigned residues) as a key metric for secondary structure prediction.

Related Experiment Videos

  • Assessing the accuracy of 3D coordinate predictions against known protein structures.
  • Main Results:

    • Four groups demonstrated sustained success in secondary structure prediction, with Rost's PHD achieving Q3 scores >= 68 in most attempts.
    • No method consistently predicted correct 3D structures across diverse targets, though one satisfactory prediction was achieved for pig NK-lysin.
    • Specialized methods were developed for predicting residue-residue proximity and segment contacts.

    Conclusions:

    • Secondary structure prediction has reached a level of sustained success.
    • Accurate de novo prediction of full 3D protein structures remains a significant challenge.
    • Progress has been made in predicting specific aspects of protein structure, such as contact patterns.