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Related Concept Videos

Protein Organization01:24

Protein Organization

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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.
The primary structure of a protein is its amino acid sequence....
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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-protein Interfaces02:04

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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...
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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.
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Protein Families02:47

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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...
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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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A Protocol for Computer-Based Protein Structure and Function Prediction
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TALE-cmap: Protein function prediction based on a TALE-based architecture and the structure information from contact

Xiao-Yao Qiu1, Hao Wu2, Jiangyi Shao1

  • 1School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, China.

Computers in Biology and Medicine
|September 7, 2022
PubMed
Summary
This summary is machine-generated.

This study integrates protein sequence, structure, and function data using a TALE-based architecture. The new TALE-cmap predictor significantly improves protein function prediction by incorporating structural information.

Keywords:
Gene ontologyProtein contact mapProtein function prediction

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Structural Biology

Background:

  • Accurate protein function prediction is crucial in bioinformatics.
  • Computational methods for predicting protein function from sequence are highly sought after.
  • Advancements in protein structure prediction offer opportunities to enhance function prediction.

Purpose of the Study:

  • To explore a novel approach for protein function prediction by integrating predicted protein structural information.
  • To leverage the TALE (Transformed Attention Learning Embedding) architecture for enhanced function prediction.
  • To assess the impact of structural information on the accuracy of protein function prediction.

Main Methods:

  • Employed a TALE-based architecture to integrate diverse protein representations.
  • Utilized sequence embeddings, contact map embeddings (representing structure), and Gene Ontology (GO) label embeddings (representing function).
  • Developed the TALE-cmap predictor incorporating these multi-level embeddings.

Main Results:

  • The TALE-cmap predictor demonstrated superior performance compared to existing state-of-the-art methods.
  • Integration of sequence, structure, and function embeddings led to improved predictive accuracy.
  • Analysis confirmed the significant contribution of structural information to protein function prediction.

Conclusions:

  • Predicted protein structural information is essential for accurate protein function prediction.
  • The TALE-cmap approach offers a powerful new tool for bioinformatics research.
  • Integrating multi-level protein data enhances the understanding of protein roles.