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

Protein fold recognition

D Jones1, J Thornton

  • 1Department of Biochemistry and Molecular Biology, University College, London, U.K.

Journal of Computer-Aided Molecular Design
|August 1, 1993
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

Combination of lovastatin, enalapril, and colchicine does not prevent restenosis after percutaneous transluminal coronary angioplasty.

The American journal of cardiology·1995
Same author

Caenorhabditis elegans UBC-1, a ubiquitin-conjugating enzyme homologous to yeast RAD6/UBC2, contains a novel carboxy-terminal extension that is conserved in nematodes.

DNA and cell biology·1995
Same author

Phase II trial of isotretinoin and recombinant interferon alfa-2a in metastatic colorectal carcinoma.

American journal of clinical oncology·1995
Same author

Characterization of a 17-kilodalton antigen of Bartonella henselae reactive with sera from patients with cat scratch disease.

Journal of clinical microbiology·1995
Same author

A portable regulatory element directs specific expression of the Caenorhabditis elegans ubiquitin gene ubq-2 in the somatic gonad.

Developmental biology·1995
Same author

Characterization of a novel 350-kilodalton nuclear phosphoprotein that is specifically involved in mitotic-phase progression.

Molecular and cellular biology·1995
Same journal

Repurposing bleomycin against Acinetobacter baumannii HisG: computational, biophysical, and antibacterial evidence.

Journal of computer-aided molecular design·2026
Same journal

Topological data analysis for antibody-drug conjugate payload discovery: a computational framework for mechanistic classification and target validation.

Journal of computer-aided molecular design·2026
Same journal

Commentary on the fundamentals and development of artificial intelligence models in the life sciences and best research practices.

Journal of computer-aided molecular design·2026
Same journal

RANQSAR: a standalone open-source application for reproducible machine learning-based QSAR analysis.

Journal of computer-aided molecular design·2026
Same journal

Integrating evolutionary and compositional features with ML and DL for robust and interpretable druggable protein prediction.

Journal of computer-aided molecular design·2026
Same journal

QUAD: a composite risk framework integrating uncertainty, applicability domain, and model disagreement for reliable QSAR predictions.

Journal of computer-aided molecular design·2026
See all related articles

Predicting protein 3D structure from amino acid sequence remains challenging. New methods recognize protein folds from sequence, even without similarity, advancing structural molecular biology.

Area of Science:

  • Structural molecular biology
  • Computational biology
  • Biophysics

Background:

  • Predicting a protein's native 3D structure from its amino acid sequence is a fundamental challenge.
  • Current methods like homology modeling and statistical secondary structure prediction have limitations.
  • Homology modeling requires significant sequence similarity, while secondary structure prediction is unreliable and doesn't yield tertiary structure.

Purpose of the Study:

  • To review current methods for predicting protein folds from sequence.
  • To provide a historical background on the development of these methods.
  • To discuss future directions and ongoing research in protein structure prediction.

Main Methods:

  • Review of existing protein fold recognition methods.

Related Experiment Videos

  • Analysis of historical development of sequence-based prediction techniques.
  • Discussion of novel approaches that identify protein folds without sequence similarity.

    • Main Results:

    • Rigorous energy calculations have not yet achieved successful protein structure prediction.
    • Homology modeling and statistical secondary structure prediction offer limited success.
    • Recent methods enable recognition of entire protein folds from sequence, even with low or no similarity.

    Conclusions:

    • Despite challenges, progress is being made in predicting protein structure from sequence.
    • Novel methods for protein fold recognition are crucial for advancing structural biology.
    • Future research focuses on improving accuracy and expanding the applicability of these prediction techniques.