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Related Concept Videos

Protein-protein Interfaces02:04

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 polypeptide...
Protein-Protein Interfaces02:04

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 polypeptide...
Protein Networks02:26

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 Networks02:26

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,...

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Related Experiment Video

Updated: Jun 20, 2026

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay (PCA) in Living Cells
08:38

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

Published on: March 3, 2015

PINAT1.0: protein interaction network analysis tool.

Sandeep K Kushwaha1, Madhvi Shakya

  • 1Department of Bioinformatics, MANIT, Bhopal 462051, India. sandeepkushwaha09@gmail.com

Bioinformation
|September 18, 2009
PubMed
Summary
This summary is machine-generated.

A new tool, PINAT, aids in identifying drug targets by analyzing protein interactions. It helps find non-homologous proteins crucial for pathogen survival, enabling targeted drug design against diseases like Tuberculosis.

Keywords:
Co­evolutionDrug TargetPINATPPIProtein interaction network

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Last Updated: Jun 20, 2026

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay (PCA) in Living Cells
08:38

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

Published on: March 3, 2015

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

Area of Science:

  • Biochemistry and Molecular Biology
  • Computational Biology
  • Drug Discovery

Background:

  • Protein interactions are vital for cellular processes; disruptions cause disease.
  • Identifying non-homologous proteins is key for effective drug targeting, especially in host-parasite diseases like Tuberculosis.
  • Protein interaction network analysis is crucial for pinpointing potent drug targets.

Purpose of the Study:

  • To develop a novel tool for protein-protein interaction (PPI) analysis.
  • To facilitate the identification of potential drug targets through network analysis.
  • To provide a user-friendly software for studying large-scale PPI data.

Main Methods:

  • Developed Protein Interaction Network Analysis Tool (PINAT), a standalone GUI application.
  • Utilized co-evolutionary profiles for PPI analysis and network construction.
  • Implemented JAVA for software development, ensuring reliability and transparency.

Main Results:

  • PINAT enables efficient analysis of large PPI datasets.
  • The tool facilitates the identification of non-homologous proteins with high interaction counts, indicative of essential drug targets.
  • PINAT offers visual presentation of results and interaction scores for easier interpretation.

Conclusions:

  • PINAT is a valuable software for protein interaction network analysis and drug target identification.
  • The tool simplifies the study of complex PPIs, aiding researchers in disease mechanism and drug development.
  • PINAT enhances the process of discovering critical pathogen proteins for therapeutic intervention.