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

Protein-protein Interfaces

Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...

Protein-Protein Interfaces

Protein-Protein Interfaces

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

Protein Networks

Protein Networks

Protein Complexes with Interchangeable Parts

Protein Complexes with Interchangeable Parts

Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order...

Protein Complexes with Interchangeable Parts

Protein Complexes with Interchangeable Parts

You might also read

Related Articles

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

Sort by

Same author

Multifactorial predictive model for nurses' intention to correct online health misinformation: A machine-learning and SHAP analysis.

Public health·2026

Same author

TB-Genaly: A Multicenter Evaluated Whole Genome Sequencing Pipeline for Tuberculosis Drug Resistance Assessment and Transmission Analysis.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases·2026

Same author

Adult intussusception caused by solitary intestinal Peutz-Jeghers polyp mimicking a malignant colon cancer.

Journal of surgical case reports·2026

Same author

Assessing Image Quality and Diagnostic Performance of Quadruple-Low Coronary CT Angiography with Deep Learning in High-BMI Patients.

Academic radiology·2026

Same author

TikTok, Bilibili, and Xiaohongshu as sources of information on frailty: Cross-sectional content analysis study.

Digital health·2026

Same author

Vascular frailty definitions: Associations with low hand grip strength and multimorbidity in older adults.

Journal of the Formosan Medical Association = Taiwan yi zhi·2026

Same journal

Experimental study on deantigenization and trabecular structure effects on bovine cancellous bone compression.

Bio-medical materials and engineering·2026

Same journal

Effects of dentin extract without demineralization on migration and angiogenic potential of human umbilical vein endothelial cells.

Bio-medical materials and engineering·2026

Same journal

Measurement of thermal expansion coefficient of melanin for photoacoustic technology.

Bio-medical materials and engineering·2026

Same journal

Development of chitosan-selenium nanoparticle modified brushite cement: A potential strategy for improved clinical performance in bone regeneration.

Bio-medical materials and engineering·2026

Same journal

Electrostatic layer-by-layer assembly for fabricating morphology-controlled hydroxyapatite/zirconia composite with enhanced osteogenic performance.

Bio-medical materials and engineering·2026

Same journal

The antitumor activity of bismuth lipophilic nanoparticles (BisBAL NPs) on human glioblastoma is higher than temozolomide.

Bio-medical materials and engineering·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 6, 2026

Author Spotlight: Unraveling the Molecular Mechanisms of Brown and Beige Adipocyte Regulation

Author Spotlight: Unraveling the Molecular Mechanisms of Brown and Beige Adipocyte Regulation

Published on: January 5, 2024

An ensemble self-training protein interaction article classifier.

Yifei Chen¹, Ping Hou, Bernard Manderick

¹School of Information Science, Nanjing Audit University, 86 Yushan Rd(W), 211815, Nanjing, P.R. China.

Bio-Medical Materials and Engineering

|November 12, 2013

Summary

This summary is machine-generated.

This study introduces EST_IACer, a novel classifier that effectively identifies protein-protein interaction (PPI) articles using limited labeled data and abundant unlabeled data. The method enhances biological knowledge extraction for proteomics analysis.

Keywords:

Interaction article classification ensemble semi-supervised learning feature weighting instance selection

More Related Videos

Identification of Protein Interacting Partners Using Tandem Affinity Purification

Identification of Protein Interacting Partners Using Tandem Affinity Purification

Published on: February 25, 2012

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells

Published on: March 3, 2015

Related Experiment Videos

Last Updated: May 6, 2026

Author Spotlight: Unraveling the Molecular Mechanisms of Brown and Beige Adipocyte Regulation

Author Spotlight: Unraveling the Molecular Mechanisms of Brown and Beige Adipocyte Regulation

Published on: January 5, 2024

Identification of Protein Interacting Partners Using Tandem Affinity Purification

Identification of Protein Interacting Partners Using Tandem Affinity Purification

Published on: February 25, 2012

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells

Published on: March 3, 2015

Area of Science:

Biochemistry
Bioinformatics
Computational Biology

Background:

Protein-protein interactions (PPIs) are fundamental to cellular processes and require efficient knowledge mining for proteomics data analysis.
Automated classification of PPI-related articles is crucial but challenged by the scarcity of manually labeled data.
Large volumes of unlabeled biological literature are available, presenting an opportunity for semi-supervised learning.

Purpose of the Study:

To develop an automated system for classifying scientific articles as related or unrelated to protein-protein interactions (PPIs).
To leverage both limited labeled and extensive unlabeled data for training a robust classification model.
To improve the efficiency and accuracy of mining PPI knowledge from scientific literature.

Main Methods:

An ensemble self-training classifier (EST_IACer) was developed, combining ensemble learning and semi-supervised self-training.
A biological background-based feature weighting strategy was extended to incorporate category information from both labeled and unlabeled data.
A heuristic constraint was implemented for selecting optimal instances from unlabeled data to enhance model performance.

Main Results:

The EST_IACer demonstrated effective and efficient classification of PPI-related articles.
The approach successfully utilized a small set of labeled articles alongside a large corpus of unlabeled data.
The extended feature weighting and instance selection strategies contributed to improved classification accuracy.

Conclusions:

EST_IACer provides an effective solution for classifying protein-protein interaction literature, addressing the challenge of limited labeled data.
The method offers a valuable tool for researchers analyzing proteomics data and advancing our understanding of cell biology.
This work highlights the potential of semi-supervised learning and ensemble methods in biological text mining.