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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 Organization01:13

Protein Organization

Overview
Protein and Protein Structure02:15

Protein and Protein Structure

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...
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...
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...

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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

A simple and fast heuristic for protein structure comparison.

David A Pelta1, Juan R González, Marcos Moreno Vega

  • 1Models of Decision and Optimization Research Group, Dept. of Computer Science and Artificial Intelligence, University of Granada, Spain. dpelta@decsai.ugr.es

BMC Bioinformatics
|March 28, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces a novel metaheuristic algorithm for the Maximum Contact Map Overlap (MAX-CMO) problem, offering accurate protein structure comparisons with reduced computational cost. The approach successfully classifies protein structures at family and architecture levels.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Structural Bioinformatics

Background:

  • Protein structure comparison is crucial in bioinformatics.
  • The Maximum Contact Map Overlap (MAX-CMO) problem is a key challenge.
  • Exact algorithms for MAX-CMO are computationally intensive, necessitating approximate methods.

Purpose of the Study:

  • To develop and evaluate a metaheuristic algorithm for solving the MAX-CMO problem.
  • To assess the algorithm's accuracy and efficiency compared to exact methods.
  • To explore the utility of MAX-CMO for protein structure classification.

Main Methods:

  • Implementation of a variable neighborhood search metaheuristic.
  • Testing the algorithm on multiple datasets for optimization and classification.
  • Analysis of normalized overlap values for structural similarity detection.

Main Results:

  • Achieved high accuracy with low error rates (3.5% and 1.7%) on MAX-CMO datasets.
  • Demonstrated feasibility of protein structure classification at SCOP family and CATH architecture levels.
  • Identified limitations for classification at the SCOP fold level.

Conclusions:

  • A new tool based on metaheuristics effectively solves MAX-CMO.
  • The tool offers a good balance between solution quality and computational effort.
  • This work presents the first application of MAX-CMO for classification at SCOP fold and CATH architecture levels with promising outcomes.