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Related Concept Videos

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,...
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...
Conserved Binding Sites01:49

Conserved Binding Sites

Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...
Protein Complexes with Interchangeable Parts01:57

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 to...

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Related Experiment Video

Updated: May 24, 2026

Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
06:50

Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions

Published on: January 26, 2024

Short Co-occurring Polypeptide Regions Can Predict Global Protein Interaction Maps.

Sylvain Pitre, Mohsen Hooshyar, Andrew Schoenrock

    Scientific Reports
    |February 23, 2012
    PubMed
    Summary

    Scientists developed a new algorithm to predict protein-protein interactions (PPIs) using conserved sequence patterns. This method enables large-scale PPI mapping across species, including novel predictions for humans, S. pombe, and C. elegans.

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    Identifying Protein-protein Interaction Sites Using Peptide Arrays
    07:44

    Identifying Protein-protein Interaction Sites Using Peptide Arrays

    Published on: November 18, 2014

    Area of Science:

    • Computational Biology
    • Systems Biology
    • Bioinformatics

    Background:

    • Mapping protein-protein interactions (PPIs) is crucial for understanding cellular functions in the post-genomics era.
    • Conserved short polypeptide sequences between interacting proteins suggest a fundamental principle of molecular recognition.
    • Existing methods for PPI prediction often lack scalability and broad applicability across different organisms.

    Purpose of the Study:

    • To develop and validate an algorithm for predicting global protein-protein interactions (PPIs) using conserved sequence features.
    • To enable accurate PPI prediction across various organisms, including predictions from previously known interactions.
    • To accelerate PPI prediction for large-scale and proteome-wide analyses.

    Main Methods:

    • Developed an algorithm to automatically generate PPI prediction parameters for diverse organisms.
    • Utilized protein primary sequences and previously reported PPIs for predictive modeling.
    • Implemented parallel multi-core programming to enhance computational efficiency for large datasets.
    • Predicted and experimentally confirmed novel human PPIs.
    • Generated genome-wide PPI maps for S. pombe and C. elegans.

    Main Results:

    • Demonstrated that conserved co-occurring short polypeptide sequences are key indicators of PPIs across species.
    • Successfully predicted global PPIs using protein primary sequences, even across different organisms.
    • Achieved significant speed-up in PPI prediction through parallel processing, facilitating proteome-wide studies.
    • Identified hundreds of novel human PPIs with confirmed protein functions.
    • Generated the first comprehensive genome-wide PPI maps for S. pombe (approximately 9,000 PPIs) and C. elegans (approximately 37,500 PPIs).

    Conclusions:

    • The study presents a robust and scalable computational approach for predicting protein-protein interactions.
    • Conserved sequence patterns provide a powerful basis for predicting PPIs across diverse biological systems.
    • The developed method significantly advances the ability to map interactomes, offering valuable resources for systems biology research.