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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
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 and Protein Structures02:15

Protein and Protein Structures

Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
A protein's shape is critical to its function. For example, an enzyme can...
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...

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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

Efficient protein structure search using indexing methods.

Sungchul Kim1, Lee Sael, Hwanjo Yu

  • 1POSTECH, Pohang, South Korea.

BMC Medical Informatics and Decision Making
|May 22, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces novel indexing techniques, iDistance and iKernel, to accelerate the search for structurally similar proteins. These methods significantly reduce computational time for protein structure comparison, aiding biological process studies.

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Area of Science:

  • Computational Biology
  • Structural Bioinformatics
  • Biophysics

Background:

  • Protein function prediction is vital for understanding biological processes.
  • Identifying structurally similar proteins is crucial for functional inference.
  • Current methods for protein structure similarity search are computationally expensive.

Purpose of the Study:

  • To develop efficient indexing techniques for rapid protein structure similarity searching.
  • To reduce the computational cost and time required for large-scale protein structure comparisons.
  • To enhance the performance of nearest neighbor search algorithms for protein structures.

Main Methods:

  • Representing protein structures using 3D-Zernike Descriptors (3DZD) for shape analysis.
  • Applying and extending iDistance and iKernel indexing techniques to 3DZDs.
  • Developing a reduced index strategy using initial 3DZD attributes for faster retrieval.
  • Modifying indexing for both top-k and θ-based nearest neighbor searches.

Main Results:

  • iDistance and iKernel indexing significantly accelerate protein structure similarity searches.
  • Extended indexing techniques further improved search speeds.
  • Reductions in search time ranged from 69.6% to 87.9% for top-k searches.
  • Reductions in search time ranged from 80% to 95.6% for θ-based searches.

Conclusions:

  • The proposed indexing techniques (iDistance, iKernel, and their extended versions) offer substantial speedups for protein structure similarity searches.
  • These methods provide efficient solutions for handling large datasets of protein structures.
  • The advancements facilitate more effective protein function prediction and biological process studies.