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 secondary structure prediction using dynamic programming.

Jing Zhao1, Pei-Ming Song, Qing Fang

  • 1School of Life Science and Technology, Shanghai Jiaotong University, China.

Acta Biochimica Et Biophysica Sinica
|March 10, 2005
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

IFDlong: a model-based isoform and fusion detector for accurate annotation and quantification of long-read RNA-seq data.

Genome biology·2026
Same author

Deep spatial sequencing revealing differential immune responses in human hepatocellular carcinoma.

Frontiers in cell and developmental biology·2025
Same author

Comparative analysis of plane vs. telescopic dissection in totally extraperitoneal inguinal hernia repair: propensity score matching.

Surgical endoscopy·2025
Same author

Deep Spatial Sequencing Revealing Differential Immune Responses in Human Hepatocellular Carcinoma.

bioRxiv : the preprint server for biology·2025
Same author

Comparing simple and functional jejunal interposition with preserved duodenal passage after total gastrectomy.

Asian journal of surgery·2024
Same author

Utility analyses of AVITI sequencing chemistry.

BMC genomics·2024
Same journal

A bifunctional aptamer-siRNA chimera targeting ACE2 for the inhibition of SARS-CoV-2 S pseudovirus entry and replication.

Acta biochimica et biophysica Sinica·2026
Same journal

Tryptophan-substituted antimicrobial peptide temporin-1CEb: <i>in vitro</i> and <i>in vivo</i> antibacterial activity against clinically isolated multidrug-resistant <i>Klebsiella pneumonia</i>.

Acta biochimica et biophysica Sinica·2026
Same journal

Ribosomal protein L8 promotes melanoma progression by regulating the cell cycle and metastasis.

Acta biochimica et biophysica Sinica·2026
Same journal

Bioinformatics classification of the MgtE Mg <sup>2</sup> <sup>+</sup> channel and <i>de novo</i> protein design for the stabilization of its novel subclass.

Acta biochimica et biophysica Sinica·2026
Same journal

Caught the 'Catch' of midnolin: structural basis for broad substrate specificity in ubiquitin-independent proteasomal degradation.

Acta biochimica et biophysica Sinica·2026
Same journal

The tRNA landscape in cancer: from pathogenesis to therapeutic interventions.

Acta biochimica et biophysica Sinica·2026
See all related articles

This study predicts protein secondary structure using a directed graph and dynamic programming. The developed algorithm achieved an average accuracy of 76.70% for three-state prediction.

Area of Science:

  • Computational biology
  • Bioinformatics
  • Structural biology

Background:

  • Accurate prediction of protein secondary structure is crucial for understanding protein function and design.
  • Existing methods often face challenges in efficiently processing sequence data and predicting structural elements.

Purpose of the Study:

  • To develop and evaluate a novel algorithm for protein secondary structure prediction.
  • To utilize dynamic programming on a directed graph for optimal path searching based on sequence propensity.

Main Methods:

  • Construction of a directed graph representing protein sequence information.
  • Application of dynamic programming to find the optimal path within the graph.
  • Derivation of secondary structure propensity from a training dataset.

Related Experiment Videos

Main Results:

  • The algorithm successfully predicted protein secondary structure.
  • An average three-state prediction accuracy of 76.70% was achieved.
  • The method demonstrates a viable approach for sequence-based structure prediction.

Conclusions:

  • The directed graph and dynamic programming approach is effective for protein secondary structure prediction.
  • The achieved accuracy indicates the potential of this method in bioinformatics.
  • Further refinement could enhance prediction performance for complex protein structures.