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Related Concept Videos

Protein Organization01:24

Protein Organization

Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence.
Protein Organization01:24

Protein Organization

Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence.
Protein Organization01:13

Protein Organization

Overview
Protein Organization01:13

Protein Organization

Overview
Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...
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: May 26, 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

SProt: sphere-based protein structure similarity algorithm.

Jakub Galgonek1, David Hoksza, Tomáš Skopal

  • 1Siret Research Group, Faculty of Mathematics and Physics, Charles University in Prague, Malostranské nám, 25, 118 00 Prague, Czech Republic. galgonek@ksi.mff.cuni.cz.

Proteome Science
|December 15, 2011
PubMed
Summary
This summary is machine-generated.

We introduce SProt, a novel protein structure similarity measure that enhances local feature extraction for faster and more accurate protein database searches.

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Area of Science:

  • Computational proteomics
  • Structural bioinformatics
  • Bioinformatics

Background:

  • Protein structure similarity search is crucial in computational proteomics.
  • The shift from sequence to structure analysis presents challenges due to the lack of a standard similarity definition.
  • Accurate protein structure comparison is essential for understanding protein function and evolution.

Purpose of the Study:

  • To develop a robust and efficient protein structure similarity measure.
  • To address the challenges in defining and quantifying structural similarity.
  • To improve the speed and accuracy of protein structure database searches.

Main Methods:

  • Propose SProt, a novel protein structure similarity measure.
  • Utilize spherical spatial neighborhoods of amino acids for local feature extraction.
  • Develop a global similarity measure based on aggregated local similarities.
  • Incorporate indexing for significant acceleration of search processes.

Main Results:

  • SProt effectively models local protein structure similarity.
  • A global similarity score is derived from partial local similarities.
  • Indexing dramatically speeds up the search process, improving efficiency by orders of magnitude.
  • The method achieves high-quality modeling of local and global structural features.

Conclusions:

  • SProt demonstrates superior classification accuracy at SCOP superfamily and fold levels.
  • The method's performance is comparable to existing state-of-the-art solutions in precision-recall and alignment quality.
  • SProt offers a promising advancement in protein structure comparison and database searching.