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

Environmental features are important in determining protein secondary structure.

J R Macdonald1, W C Johnson

  • 1Department of Biochemistry and Biophysics, Oregon State University, Corvallis, Oregon 97331, USA.

Protein Science : a Publication of the Protein Society
|May 23, 2001
PubMed
Summary

This study identifies key amino acid features, including solvent accessibility and local interactions, crucial for predicting protein secondary structure. Optimizing these features improved prediction accuracy to 84.0%.

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

Inner-mitochondrial membrane protein PfMPV17 is linked to P. falciparum in vitro resistance to the indoloquinolizidine alkaloid alstonine.

The Journal of antimicrobial chemotherapy·2025
Same author

Antiplasmodial activity of the natural product compounds alstonine and himbeline.

International journal for parasitology. Drugs and drug resistance·2021
Same author

Bacterial Streak and Bulb Rot of Onion: I. A Diagnostic Medium for the Semiselective Isolation and Enumeration of Pseudomonas viridiflava.

Plant disease·2019
Same author

Bacterial Streak and Bulb Rot of Sweet Onion: II. Epiphytic Survival of Pseudomonas viridiflava in Association with Multiple Weed Hosts.

Plant disease·2019
Same author

Resistance of Geneva and Other Apple Rootstocks to Erwinia amylovora.

Plant disease·2019
Same author

Case of Castration Said to Be Self-Inflicted.

The Indian medical gazette·2017

Area of Science:

  • * Structural Biology
  • * Computational Biology
  • * Biophysics

Background:

  • * Protein secondary structure prediction is fundamental to understanding protein function.
  • * Amino acid properties, such as solvent accessibility and residue interactions, are known determinants of local structure.
  • * Previous models often simplified these complex interactions.

Purpose of the Study:

  • * To investigate the predictive power of solvent accessibility and pairwise amino acid interactions for secondary structure.
  • * To develop and validate an algorithm for distinguishing alpha-helices, beta-strands, and other structures.
  • * To assess the impact of optimizing residue propensities and interaction probabilities on prediction accuracy.

Main Methods:

  • * Developed an algorithm to classify protein structures into alpha-helices, beta-strands, and other.

Related Experiment Videos

  • * Calculated single residue and pairwise probabilities from 25,141 protein samples (<30% homology).
  • * Employed cross-validation to assess prediction accuracy and optimized various model parameters.

    • Main Results:

    • * Combining solvent accessibility and pairwise probabilities achieved 82.0% accuracy in secondary structure prediction.
    • * Optimizing residue propensities yielded accuracy gains of 1.4% to 2.0%.
    • * Further optimization of residue exposures, probability weights, and propensities increased overall accuracy to 84.0%.

    Conclusions:

    • * Solvent accessibility and local pairwise interactions are significant features for predicting protein secondary structure.
    • * Optimizing model parameters, including propensities and residue exposures, substantially improves prediction accuracy.
    • * The developed method provides an accurate approach for secondary structure classification based on fundamental amino acid properties.