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Related Concept Videos

Protein and Protein Structure02:15

Protein and Protein Structure

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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.
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Protein Folding01:22

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Protein Folding01:25

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Proteins are chains of amino acids linked together by peptide bonds. Upon synthesis, a protein folds into a three-dimensional conformation, critical to its biological function. Interactions between its constituent amino acids guide protein folding, and hence the protein structure is primarily dependent on its amino acid sequence.
Protein Structure Is Critical to Its Biological Function
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Protein Networks02:26

Protein Networks

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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.
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Protein Networks02:26

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Protein Organization01:24

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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.
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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
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Classification of Protein Structure Classes on Flexible Neutral Tree.

Wenzheng Bao, Dong Wang, Yuehui Chen

    IEEE/ACM Transactions on Computational Biology and Bioinformatics
    |January 24, 2017
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    This study introduces a novel bioinformatics framework for protein structure classification using amino acid composition and structural features. The proposed method, employing a Flexible Neutral Tree (FNT) model, demonstrates superior performance in classifying low-homology protein tertiary structures.

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    Area of Science:

    • Bioinformatics
    • Structural Biology
    • Computational Biology

    Background:

    • Accurate protein structure classification is crucial in bioinformatics.
    • Various classification methods exist, but challenges remain, especially for low-homology proteins.
    • Identifying key features for classification is essential for model development.

    Purpose of the Study:

    • To develop and evaluate a novel framework for protein structure classification.
    • To investigate the impact of different feature groups on classification accuracy.
    • To introduce an algorithm for feature selection and dimensionality reduction.

    Main Methods:

    • Utilized amino acid composition, secondary structure features, and amino acid dimer/triplet correlation coefficients.
    • Employed a Flexible Neutral Tree (FNT) neural network as the classification model.
    • Developed the Impact Factors Scaling (IFS) algorithm to reduce redundant feature information and evaluate feature group importance.

    Main Results:

    • The proposed framework achieved superior performance compared to existing methods.
    • Demonstrated effectiveness in classifying low-homology protein tertiary structures.
    • The IFS algorithm aided in optimizing feature selection and improving model efficiency.

    Conclusions:

    • The developed bioinformatics framework offers an effective approach for protein structure classification.
    • Feature engineering and selection play a significant role in enhancing classification accuracy.
    • The FNT model combined with IFS shows promise for future applications in structural bioinformatics.