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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...
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...
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,...
Structural Protein Function01:56

Structural Protein Function

Structural proteins are a category of proteins responsible for functions ranging from cell shape and movement to providing support to major structures such as bones, cartilage, hair, and muscles. This group includes proteins such as collagen, actin, myosin, and keratin.
Collagen, the most abundant protein in mammals, is found throughout the body. In connective tissue, such as skin, ligaments, and tendons, it provides tensile strength and elasticity.  In bones and teeth, it mineralizes 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 protein structural class prediction method based on novel features.

Lichao Zhang1, Xiqiang Zhao, Liang Kong

  • 1College of Marine Life Science, Ocean University of China, Yushan Road, Qingdao 266003, PR China.

Biochimie
|June 18, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a new 12-dimensional feature vector for predicting protein secondary structures, enhancing accuracy for alpha/beta and alpha+beta classes using novel features. The method shows superior performance compared to existing approaches.

Keywords:
Protein structural classSecondary structureSequence similaritySupport vector machine

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Area of Science:

  • * Computational Biology
  • * Bioinformatics
  • * Structural Bioinformatics

Background:

  • * Protein secondary structure prediction is crucial for understanding protein function.
  • * Existing methods face challenges in accurately classifying complex structures like α/β and α + β.

Purpose of the Study:

  • * To develop an improved method for protein secondary structure prediction.
  • * To enhance prediction accuracy for α/β and α + β protein classes.

Main Methods:

  • * Construction of a 12-dimensional feature vector representing protein secondary structural elements.
  • * Design of 6 novel features focusing on helix/strand distributions and beta-sheet characteristics.
  • * Evaluation using jackknife cross-validation on 25PDB and 1189 datasets with low sequence similarity.

Main Results:

  • * The proposed method demonstrates superior performance over existing techniques.
  • * The 6 newly-designed features significantly improve prediction accuracies.
  • * Notably enhanced accuracy was observed for the α/β and α + β protein classes.

Conclusions:

  • * The novel feature vector effectively captures protein secondary structure information.
  • * The developed method offers a significant advancement in predicting protein structural classes.
  • * This approach holds promise for future protein structure analysis and drug discovery.