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Related Concept Videos

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...
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...
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,...
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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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

ClusFCM: an algorithm for predicting protein functions using homologies and protein interactions.

Cao Nguyen1, Michael Mannino, Katheleen Gardiner

  • 1Virginia Commonwealth University, VA 23238, USA. cdnguyen@vcu.edu

Journal of Bioinformatics and Computational Biology
|March 8, 2008
PubMed
Summary
This summary is machine-generated.

A new algorithm, ClusFCM, enhances protein function prediction by integrating clustering and fuzzy cognitive maps (FCM). It leverages protein homologies and network topology for improved recall and precision in annotating protein functions.

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Last Updated: Jul 6, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
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Published on: November 3, 2011

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09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

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

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • Accurate prediction of protein functions is crucial for understanding biological systems.
  • Existing methods often struggle with low recall, particularly for proteins with limited direct interaction data.
  • Protein function prediction benefits from integrating network topology and homology information.

Purpose of the Study:

  • To introduce ClusFCM, a novel algorithm combining clustering and fuzzy cognitive maps (FCM) for enhanced protein function prediction.
  • To improve prediction accuracy by utilizing protein homologies and protein-interaction network topology.
  • To evaluate ClusFCM's performance against established function prediction methods.

Main Methods:

  • Developed ClusFCM algorithm integrating clustering and fuzzy cognitive maps (FCM).
  • Utilized protein homologies and protein-interaction network topology for function inference.
  • Applied ClusFCM to annotate protein functions in Saccharomyces cerevisiae, Caenorhabditis elegans, and Drosophila melanogaster using GRID and Gene Ontology (GO) data.

Main Results:

  • ClusFCM demonstrated high recall in protein function prediction.
  • The algorithm maintained high precision while improving recall compared to existing methods.
  • Performance was validated using Matthews correlation coefficient, harmonic mean, and ROC curve analysis.

Conclusions:

  • ClusFCM offers a significant advancement in protein function prediction accuracy.
  • The integration of clustering and FCM effectively leverages network properties for improved annotation.
  • ClusFCM provides a robust tool for biological research requiring precise protein function identification.