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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...
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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,...
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...

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Updated: Jul 4, 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

Protein functional annotation by homology.

Raja Mazumder1, Sona Vasudevan, Anastasia N Nikolskaya

  • 1Protein Information Resource, Georgetown University Medical Center, Washington, DC, USA.

Methods in Molecular Biology (Clifton, N.J.)
|July 2, 2008
PubMed
Summary
This summary is machine-generated.

Computational methods analyze protein sequences and structures to predict the function of uncharacterized proteins. These protocols use publicly available online tools for broad accessibility in bioinformatics.

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Last Updated: Jul 4, 2026

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Genome sequencing generates vast amounts of protein sequence data.
  • Experimental functional data collection lags significantly behind sequence data generation.
  • Computational approaches are essential for protein functional annotation.

Purpose of the Study:

  • To present protocols for inferring protein function.
  • To utilize protein sequence and structure analysis for functional annotation.
  • To provide accessible methods for researchers without extensive experimental resources.

Main Methods:

  • Utilizing publicly available computational resources and tools.
  • Employing protein sequence analysis techniques.
  • Applying protein structure analysis methods.

Main Results:

  • Development of protocols for functional inference of uncharacterized proteins.
  • Demonstration of the utility of computational analysis for protein annotation.
  • Validation of the accessibility of these methods via the internet.

Conclusions:

  • Computational protocols offer a viable solution for the protein function prediction challenge.
  • Publicly available tools facilitate widespread application of these methods.
  • Protein sequence and structure analysis are key to advancing functional genomics.