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

Fast Fourier transform-based support vector machine for subcellular localization prediction using different

Zhimeng Wang1, Lin Jiang, Menglong Li

  • 1College of Chemistry, Sichuan University, Chengdu 610064, China.

Acta Biochimica Et Biophysica Sinica
|September 7, 2007
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

Structure-Based Peptide Inhibitor Design of Amyloid-β Aggregation.

Frontiers in molecular neuroscience·2019
Same author

Modulation format identification and OSNR monitoring using density distributions in Stokes axes for digital coherent receivers.

Optics express·2019
Same author

Mechanical Thrombectomy Outcome Predictors in Stroke Patients with M2 Occlusion: A Single-Center Retrospective Study.

World neurosurgery·2019
Same author

Predictive value of in-hospital white blood cell count in Chinese patients with triple-vessel coronary disease.

European journal of preventive cardiology·2019
Same author

Prolonged Sitting, Its Combination With Physical Inactivity and Incidence of Lung Cancer: Prospective Data From the HUNT Study.

Frontiers in oncology·2019
Same author

Prognostic Value of Plasma Big Endothelin-1 Level among Patients with Three-Vessel Disease: A Cohort Study.

Journal of atherosclerosis and thrombosis·2019
Same journal

Artesunate protects against sepsis-induced cardiomyopathy by reducing Akt/FoxO3-mediated apoptosis and inflammation.

Acta biochimica et biophysica Sinica·2026
Same journal

TIM3 alleviates microglia-mediated neuroinflammation in neuropathic pain by negatively regulating glycolysis-driven NLRP3 inflammasome activation.

Acta biochimica et biophysica Sinica·2026
Same journal

Phillyrin protects against myocardial ischemia/reperfusion injury by promoting KNL1 K605 acetylation to inhibit the p53/p21 pathway.

Acta biochimica et biophysica Sinica·2026
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
See all related articles

This study introduces a novel bioinformatics method using a fast Fourier transform-based support vector machine to predict protein subcellular localization. The approach achieves high accuracy in both prokaryotic and eukaryotic organisms, aiding in understanding cellular protein functions.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Proteomics

Background:

  • Accurate identification of protein subcellular localization is crucial for understanding cellular functions, given the vast number of proteins within a cell.
  • Existing methods for predicting protein localization face challenges in accuracy and efficiency.

Purpose of the Study:

  • To develop and evaluate a novel computational method for predicting protein subcellular localization.
  • To assess the prediction accuracy using physicochemical properties and structural parameters.

Main Methods:

  • A support vector machine (SVM) model integrated with fast Fourier transform (FFT) was employed.
  • The prediction utilized a c-p-v matrix substitution model, considering composition (c), polarity (p), and molecular volume (v).

Related Experiment Videos

  • The 'leave-one-out' jackknife procedure was used for overall accuracy evaluation.

    • Main Results:

    • The developed method achieved prediction accuracies of 83% in prokaryotic organisms and 84% in eukaryotic organisms.
    • The c-p-v matrix substitution model demonstrated effectiveness in enhancing prediction accuracy.
    • The influence of the substitution model on prediction performance was analyzed.

    Conclusions:

    • The FFT-based SVM method offers a robust and accurate approach for predicting protein subcellular localization.
    • This method provides valuable insights into protein function and cellular organization.
    • The source code is available for further research and application.