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Conserved Binding Sites01:49

Conserved Binding Sites

4.1K
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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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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Ligand Binding Sites02:40

Ligand Binding Sites

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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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The Equilibrium Binding Constant and Binding Strength02:18

The Equilibrium Binding Constant and Binding Strength

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The equilibrium binding constant (Kb) quantifies the strength of a protein-ligand interaction. Kb can be calculated as follows when the reaction is at equilibrium:
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Related Experiment Video

Updated: May 2, 2026

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

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HopDock: a probabilistic search algorithm for decoy sampling in protein-protein docking.

Irina Hashmi, Amarda Shehu

    Proteome Science
    |February 26, 2014
    PubMed
    Summary

    HopDock, a new search algorithm, improves protein-protein docking by efficiently generating diverse decoy configurations. This aids in predicting complex molecular structures and understanding cellular functions.

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    Area of Science:

    • Structural Biology
    • Computational Biology
    • Biophysics

    Background:

    • Predicting the three-dimensional structure of molecular assemblies (docking) is crucial for understanding cellular mechanisms.
    • Protein assemblies are vital in cells, but in silico structure prediction remains challenging.

    Purpose of the Study:

    • To introduce HopDock, a novel search algorithm for protein-protein docking.
    • To efficiently generate a diverse ensemble of low-energy dimeric configurations (decoys) for ab-initio docking protocols.

    Main Methods:

    • HopDock utilizes the Basin Hopping (BH) framework, combining structural perturbation with energy minimization.
    • It employs geometry and evolutionary conservation analysis to refine the search space.
    • The algorithm samples consecutive energy minima to generate decoys.

    Main Results:

    • Comparative studies on seventeen dimers demonstrate HopDock's ability to explore the energy surface near native structures.
    • HopDock successfully samples numerous near-native configurations.
    • The algorithm provides a broad view of potential dimeric structures.

    Conclusions:

    • HopDock exhibits high sampling capability, essential for generating large and diverse decoy ensembles.
    • The generated decoys can be effectively utilized in subsequent ab-initio docking protocols for detailed structural refinement.
    • This approach enhances the prediction of protein assembly structures.