Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Tagging and Fusion Proteins

Tagging and Fusion Proteins

Proteins are involved in several cellular processes and biochemical reactions. Analyzing a specific protein of interest requires it to be isolated from the other proteins in the cell. This is achieved by overexpressing the specific gene in a suitable host to produce large quantities of the target protein. A tag or label is recombined with the gene to produce a fusion protein containing the target protein and the tag. The tags on these fusion proteins can then be used for easy detection and...

Overview of Protein Sorting and Transport

Overview of Protein Sorting and Transport

Eukaryotic cells have different membrane-bound organelles with distinct protein requirements. The process by which proteins are targeted to a specific organelle is called protein sorting.
Protein sorting can be of two types: signal-based sorting and vesicle-based trafficking. In signal-based sorting, specific amino acid sequences called sorting signals target proteins to the proper location inside the cell either via gated transport or by protein translocation. In gated transport, folded...

You might also read

Related Articles

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

Sort by

Same author

[Effect of fluoride ion on corrosion of two dental titanium alloys].

Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology·2010

Same author

The phylogeny analysis of MyoG gene in different pig breeds.

Interdisciplinary sciences, computational life sciences·2010

Same author

[Treatment of early avascular necrosis of femoral head by core decompression combined with autologous bone marrow mesenchymal stem cells transplantation].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery·2010

Same author

MicroRNAome of porcine pre- and postnatal development.

PloS one·2010

Same author

Hyperactive putamen in patients with paroxysmal kinesigenic choreoathetosis: a resting-state functional magnetic resonance imaging study.

Movement disorders : official journal of the Movement Disorder Society·2010

Same author

Danshensu has anti-tumor activity in B16F10 melanoma by inhibiting angiogenesis and tumor cell invasion.

European journal of pharmacology·2010

Same journal

Modeling the impact of budget limitation on the screening and treatment pathway of HPV-induced precancerous cervical lesions.

Mathematical biosciences and engineering : MBE·2026

Same journal

Modeling the effects of trait-mediated dispersal on coexistence of two species: Competition and non-consumptive predator-prey.

Mathematical biosciences and engineering : MBE·2026

Same journal

A close look at the viral reduction rate in target cell limited models.

Mathematical biosciences and engineering : MBE·2026

Same journal

A stochastic agent-based model for simulating tumor-immune dynamics and evaluating therapeutic strategies.

Mathematical biosciences and engineering : MBE·2026

Same journal

Addressing domain shift via imbalance-aware domain adaptation in embryo development assessment.

Mathematical biosciences and engineering : MBE·2026

Same journal

Effect of drug resistance on an HIV epidemic in heterogeneous populations.

Mathematical biosciences and engineering : MBE·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 4, 2025

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

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

Published on: June 30, 2018

Improved multi-label classifiers for predicting protein subcellular localization.

Lei Chen¹, Ruyun Qu¹, Xintong Liu¹

¹College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China.

Mathematical Biosciences and Engineering : MBE

|February 2, 2024

Summary

This summary is machine-generated.

Predicting protein subcellular locations is crucial for understanding protein functions. This study introduces improved computational methods using random k-labelsets and random forest for accurate multi-label protein location identification.

Keywords:

gene ontology jackknife test multi-label classification protein subcellular localization random forest random k-labelsets algorithm

More Related Videos

TurboID-Based Proximity Labeling for In Planta Identification of Protein-Protein Interaction Networks

TurboID-Based Proximity Labeling for In Planta Identification of Protein-Protein Interaction Networks

Published on: May 17, 2020

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging

Published on: April 8, 2016

Related Experiment Videos

Last Updated: Jul 4, 2025

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

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

Published on: June 30, 2018

TurboID-Based Proximity Labeling for In Planta Identification of Protein-Protein Interaction Networks

TurboID-Based Proximity Labeling for In Planta Identification of Protein-Protein Interaction Networks

Published on: May 17, 2020

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging

Published on: April 8, 2016

Area of Science:

Computational Biology
Proteomics
Bioinformatics

Background:

Protein function is intrinsically linked to its subcellular location.
Accurate prediction of protein subcellular locations is a significant challenge in protein science.
Existing computational methods show promise but require further enhancement for improved efficiency and accuracy.

Purpose of the Study:

To develop and evaluate novel, high-performance computational methods for predicting protein subcellular locations.
To address the limitations of traditional prediction techniques by incorporating advanced machine learning algorithms.
To improve the identification of multi-label protein locations across diverse species (human, animal, bacterial, eukaryotic).

Main Methods:

Implementation of four improved multi-label classifiers.
Utilization of the random k-labelsets (RAKEL) algorithm to handle proteins with multiple subcellular locations.
Application of the random forest algorithm as the core prediction engine.

Main Results:

All proposed classifiers demonstrated high performance when validated using a jackknife test.
Comparative analyses indicated the superiority of the developed classifiers over existing methods.
The methods effectively identified subcellular locations for human, animal, Gram-negative bacterial, and eukaryotic proteins.

Conclusions:

The developed multi-label classifiers offer a significant advancement in predicting protein subcellular locations.
The integration of RAKEL and random forest provides a robust framework for accurate and efficient protein localization.
These improved computational tools have the potential to accelerate research in protein science and functional genomics.