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Related Concept Videos

Conserved Binding Sites01:49

Conserved Binding Sites

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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.
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...
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Ligand Binding Sites02:40

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Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
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Ligand Binding and Linkage00:49

Ligand Binding and Linkage

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Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...
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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 Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

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Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
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Protein-protein Interfaces02:04

Protein-protein Interfaces

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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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Related Experiment Video

Updated: Sep 2, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction
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ContactLib-ATT: A Structure-Based Search Engine for Homologous Proteins.

Cheng Chen, Yuguo Zha, Daming Zhu

    IEEE/ACM Transactions on Computational Biology and Bioinformatics
    |August 10, 2022
    PubMed
    Summary

    ContactLib-ATT, a novel protein structure embedding method, enhances protein design and drug discovery by introducing contact context and attention mechanisms. This approach significantly improves protein classification and remote homology detection accuracy.

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    Area of Science:

    • Computational Biology
    • Structural Bioinformatics
    • Machine Learning in Biology

    Background:

    • General-purpose protein structure embedding is crucial for various biological applications, including protein and drug design.
    • Attention-based encoder layers have demonstrated effectiveness in learning high-level features for complex data.

    Purpose of the Study:

    • To develop a novel two-level general-purpose protein structure embedding neural network, ContactLib-ATT.
    • To improve the accuracy of protein structure classification and remote homology detection.

    Main Methods:

    • Introduction of a biologically meaningful contact context at the local embedding level.
    • Utilization of attention-based encoder layers at the global embedding level for enhanced representation learning.
    • Training and testing the framework on the SCOP40 2.07 dataset.

    Main Results:

    • ContactLib-ATT achieved 82.4% SCOP superfamily classification accuracy, outperforming the state-of-the-art by 6.7%.
    • In a simulated structure-based search for remote homologous proteins, the top-10 candidate list generated by ContactLib-ATT included a remote homolog with 91.9% probability.

    Conclusions:

    • ContactLib-ATT offers a superior approach to general-purpose protein structure embedding.
    • The method demonstrates significant potential for advancing protein design, drug discovery, and protein function prediction through improved structural analysis.