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 Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A ligation-independent cloning method using nicking DNA endonuclease.

BioTechniques·2010
Same author

Synthesis, in vitro and in vivo biological evaluation, and comprehensive understanding of structure-activity relationships of dipeptidyl boronic acid proteasome inhibitors constructed from β-amino acids.

Journal of medicinal chemistry·2010
Same author

Evaluation of the association between the AC3 genetic polymorphisms and obesity in a Chinese Han population.

PloS one·2010
Same author

Structure of yeast regulatory subunit: a glimpse into the evolution of PKA signaling.

Structure (London, England : 1993)·2010
Same author

[Effect of Rhizoma Coptidis coadministration with Cortex Cinnamomi on tissue distribution of berberine in rats].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica·2010
Same author

Exosomal-like vesicles with immune-modulatory features are present in human plasma and can induce CD4+ T-cell apoptosis in vitro.

Transfusion·2010

Related Experiment Video

Updated: Jun 22, 2026

Three-dimensional Imaging of Bacterial Cells for Accurate Cellular Representations and Precise Protein Localization
06:33

Three-dimensional Imaging of Bacterial Cells for Accurate Cellular Representations and Precise Protein Localization

Published on: October 29, 2019

Predicting subcellular localization of gram-negative bacterial proteins by linear dimensionality reduction method.

Tong Wang1, Jie Yang

  • 1Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, 200240, China. tongwang@sjtu.org

Protein and Peptide Letters
|June 11, 2009
PubMed
Summary

This study introduces a new method to predict protein subcellular localization by reducing data complexity. The approach effectively simplifies biological systems for more accurate predictions, particularly for Gram-negative bacteria.

More Related Videos

Enriching Subcellular Proteins in Leptospira Using a Triton X-114-Based Fractionation Approach
04:25

Enriching Subcellular Proteins in Leptospira Using a Triton X-114-Based Fractionation Approach

Published on: August 8, 2025

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells
11:06

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells

Published on: June 30, 2018

Related Experiment Videos

Last Updated: Jun 22, 2026

Three-dimensional Imaging of Bacterial Cells for Accurate Cellular Representations and Precise Protein Localization
06:33

Three-dimensional Imaging of Bacterial Cells for Accurate Cellular Representations and Precise Protein Localization

Published on: October 29, 2019

Enriching Subcellular Proteins in Leptospira Using a Triton X-114-Based Fractionation Approach
04:25

Enriching Subcellular Proteins in Leptospira Using a Triton X-114-Based Fractionation Approach

Published on: August 8, 2025

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells
11:06

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells

Published on: June 30, 2018

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • The post-genomic era necessitates automated and accurate tools for predicting protein subcellular localization.
  • Existing methods often focus on classification schemes, overlooking the simplification of complex biological systems.

Purpose of the Study:

  • To develop a method that reduces the complexity of biological systems for predicting protein subcellular localization.
  • To enhance the accuracy of subcellular localization prediction using dimensionality reduction techniques.

Main Methods:

  • Utilized linear dimensionality reduction (DR) to transform high-dimensional feature vectors into low-dimensional ones.
  • Employed a sequence encoding scheme fusing Position-Specific Score Matrix (PSSM) and Chou's Pseudo Amino Acid (PseAA) composition.
  • Applied the K-Nearest Neighbor (K-NN) classifier on reduced feature vectors for localization prediction.

Main Results:

  • The linear DR method successfully decreased the complexity of the biological system.
  • The fused PSSM and PseAA encoding scheme provided a powerful representation of protein samples.
  • The K-NN classifier achieved encouraging results in predicting subcellular localization based on reduced features.

Conclusions:

  • Linear dimensionality reduction is a promising approach for tackling complex biological problems.
  • The proposed method shows significant potential for predicting the subcellular localization of Gram-negative bacterial proteins.