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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 Families02:47

Protein Families

Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism.   Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members.   If these new proteins contain similar amino acids in key locations, protein...

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Related Experiment Video

Updated: May 13, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

Semantically predicting protein functions based on protein functional connectivity.

Wei Zhu1, Jingyu Hou, Yi-Ping Phoebe Chen

  • 1Department of Computer Science and Computer Engineering, La Trobe University, Melbourne, Australia. w6zhu@students.latrobe.edu.au

Computational Biology and Chemistry
|March 5, 2013
PubMed
Summary
This summary is machine-generated.

We introduce a new method to predict protein functions using protein-protein interaction (PPI) networks. By considering functional connectivity, our approach enhances prediction accuracy for unannotated proteins.

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

Published on: January 26, 2024

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • Public protein-protein interaction (PPI) databases are crucial for developing protein function prediction methods.
  • Existing network-based approaches often overlook functional connectivity, focusing primarily on direct interaction topology.
  • This limitation hinders accurate prediction of protein functions for unannotated proteins.

Purpose of the Study:

  • To develop a novel approach for predicting protein functions in unannotated proteins.
  • To incorporate protein functional connectivity and function similarity into prediction models.
  • To improve the accuracy of protein function prediction using protein-protein interaction networks.

Main Methods:

  • Proposed Semantic protein function Prediction based on protein Functional Connectivity (SPFC) approach.
  • Defined and incorporated functional connectivity and function addition for each protein.
  • Evaluated SPFC on real-world PPI datasets.

Main Results:

  • The SPFC method demonstrates higher accuracy in predicting functions of unannotated proteins.
  • Experimental results show SPFC outperforms other existing network-based prediction approaches.
  • Incorporating functional connectivity significantly enhances prediction effectiveness.

Conclusions:

  • Functional connectivity is a critical factor for improving protein function prediction accuracy.
  • The SPFC method offers a more effective strategy for annotating protein functions.
  • This study highlights the importance of considering functional relationships beyond direct interactions.