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

Knowledge-based potentials for protein folding: what can we learn from known protein structures?

A Godzik1

  • 1Scripps Research Institute, La Jolla, CA 92037, USA.

Structure (London, England : 1993)
|April 15, 1996
PubMed
Summary

Empirical potentials model protein structures for simulations and predictions. Their derivation involves comparing experimental protein structures with theoretical reference states.

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

Computational protein function prediction: are we making progress?

Cellular and molecular life sciences : CMLS·2007
Same author

The status of structural genomics defined through the analysis of current targets and structures.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2004
Same author

The apoptosis database.

Cell death and differentiation·2003
Same author

Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs.

Nature·2002
Same author

Fold predictions for bacterial genomes.

Journal of structural biology·2001
Same author

CLAN, a novel human CED-4-like gene.

Genomics·2001

Area of Science:

  • * Computational biology
  • * Structural bioinformatics

Background:

  • * Empirical potentials are crucial for modeling protein structures.
  • * These potentials capture inherent regularities in protein architecture.
  • * Applications include protein structure prediction and function analysis.

Purpose of the Study:

  • * To outline the methodology for deriving empirical potentials.
  • * To highlight the importance of comparing experimental and theoretical data.

Main Methods:

  • * Comparing experimentally determined protein structures.
  • * Constructing theoretical reference states for comparison.

Main Results:

  • * Empirical potentials effectively represent protein structural features.

Related Experiment Videos

  • * The derivation process relies on robust comparative analysis.

    • Conclusions:

    • * Empirical potentials are valuable tools in structural biology.
    • * Accurate derivation is key for reliable simulations and predictions.