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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 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...
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

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Related Experiment Video

Updated: May 13, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

Protein function prediction by massive integration of evolutionary analyses and multiple data sources.

Domenico Cozzetto1, Daniel W A Buchan, Kevin Bryson

  • 1Bioinformatics Group, Department of Computer Science, University College London, Gower Street, London, WC1E 6BT, UK.

BMC Bioinformatics
|March 22, 2013
PubMed
Summary
This summary is machine-generated.

Accurate protein function prediction is crucial for analyzing sequencing data. This study developed an integrative method, outperforming others in the CAFA challenge, highlighting the need for continued community effort in automated function prediction.

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Last Updated: May 13, 2026

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Published on: July 12, 2022

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16:41

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Published on: November 3, 2011

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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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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • High-throughput sequencing generates vast data, necessitating accurate protein function annotation.
  • Automated protein function prediction methods are essential to keep biological databases updated.
  • The CAFA experiment offered a platform for blind testing diverse automated function prediction approaches.

Purpose of the Study:

  • To report the methodology and lessons learned from the CAFA challenge.
  • To develop and evaluate an integrative approach for automated protein function prediction.
  • To assess the performance of various function prediction strategies.

Main Methods:

  • Integrated diverse biological data: sequence, gene expression, protein-protein interactions, and UniProt annotations.
  • Employed a framework combining homology-based and feature-based analyses for functional category transfer.
  • Utilized a probabilistic approach, considering Gene Ontology hierarchy, to combine predictions.

Main Results:

  • Introduced the COmbined Graph-Information Content similarity (COGIC) score for evaluating predicted functional categories.
  • Demonstrated that the integrative approach achieved superior scope and accuracy compared to individual methods and naive predictors.
  • Confirmed that molecular function predictions are generally more accurate than biological process predictions.

Conclusions:

  • Significant room for improvement exists in automated protein function prediction.
  • Community-driven blind testing is vital for establishing evaluation standards and advancing the field.
  • Automated function prediction requires further development to become a routine tool for life scientists.