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

An algorithm for protein secondary structure prediction based on class prediction.

G Deléage1, B Roux

  • 1Laboratoire de Physico-Chimie Biologique, LBTM-CNRS UM 24, Université Claude Bernard, Villeurbanne, France.

Protein Engineering
|August 1, 1987
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

Computational methods and theory for ion channel research.

Advances in physics: X·2022
Same author

Decision-making factors for the long-term topical treatment of mild-to-moderate plaque psoriasis: TEPPSO, a case-vignette study on clinical practice.

Annales de dermatologie et de venereologie·2022
Same author

Management of oral bisphosphonates treatment by rheumatologists and determinants of therapeutic changes: a case-vignette-based study.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA·2017
Same author

Determination of cholesterol oxides by gas chromatography-flame ionization detection/mass selective detection and their occurence in lanolin-containing cosmetics and ointments.

International journal of cosmetic science·2015
Same author

All-atom empirical potential for molecular modeling and dynamics studies of proteins.

The journal of physical chemistry. B·2014
Same author

Multi-ion distributions in the cytoplasmic domain of inward rectifier potassium channels.

Biophysical journal·2012
Same journal

Structure of a human Rhinovirus complexed with its receptor molecule.

Protein engineering·2024
Same journal

pH-responsive polymer-assisted refolding of urea- and organic solvent-denatured alpha-chymotrypsin.

Protein engineering·2004
Same journal

Evaluation of different linker regions for multimerization and coupling chemistry for immobilization of a proteinaceous affinity ligand.

Protein engineering·2004
Same journal

Recombinant porcine intestinal carboxylesterase: cloning from the pig liver esterase gene by site-directed mutagenesis, functional expression and characterization.

Protein engineering·2004
Same journal

Periplasmic expression of human growth hormone via plasmid vectors containing the lambdaPL promoter: use of HPLC for product quantification.

Protein engineering·2004
Same journal

Shift of fibril-forming ability of the designed alpha-helical coiled-coil peptides into the physiological pH region.

Protein engineering·2004
See all related articles

This study introduces a double prediction method for protein secondary structure prediction. It improves accuracy by first predicting protein class and then optimizing secondary structure predictions.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Protein Structure Prediction

Background:

  • Accurate prediction of protein secondary structure is crucial for understanding protein function.
  • Existing methods often have limitations in prediction accuracy.
  • Protein class information can potentially enhance secondary structure prediction.

Purpose of the Study:

  • To develop and evaluate a novel algorithm for improving protein secondary structure prediction.
  • To integrate protein class prediction with secondary structure prediction to enhance accuracy.
  • To assess the performance of the 'double prediction method' on a diverse protein dataset.

Main Methods:

  • Developed a 'double prediction method' combining secondary structure and protein class prediction.

Related Experiment Videos

  • Utilized a new algorithm for initial secondary structure prediction based on Chou-Fasman parameters.
  • Predicted protein class using amino acid composition.
  • Optimized secondary structure prediction parameters using independent class predictions.

    • Main Results:

    • Achieved 72% success rate in protein class prediction.
    • Correctly predicted 61.3% of residues into three states (helix, sheet, coil).
    • Demonstrated good agreement between observed and predicted secondary structure contents.

    Conclusions:

    • The 'double prediction method' significantly improves protein secondary structure prediction accuracy.
    • Integrating protein class prediction is a viable strategy for enhancing predictive models.
    • The developed algorithm offers a more reliable approach for secondary structure determination.