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Related Concept Videos

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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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.
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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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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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Noncovalent Attractions in Biomolecules02:35

Noncovalent Attractions in Biomolecules

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Noncovalent attractions are associations within and between molecules that influence the shape and structural stability of complexes. These interactions differ from covalent bonding in that they do not involve sharing of electrons.
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Drug-Receptor Bonds01:25

Drug-Receptor Bonds

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Drug-receptor bonds are formed through various chemical forces when drugs interact with target cells. Covalent bonds, strong and irreversible, are exemplified by DNA-alkylating anticancer agents that inhibit cell division. However, such irreversible drug binding lacks selectivity and can modify the DNA of the surrounding healthy cells. Covalent binding often contributes to tissue toxicity, as seen with chloroform and paracetamol metabolites binding to the liver, causing hepatotoxicity.
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Related Experiment Video

Updated: Aug 16, 2025

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
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HCovDock: an efficient docking method for modeling covalent protein-ligand interactions.

Qilong Wu1, Sheng-You Huang1

  • 1School of Physics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, P. R. China.

Briefings in Bioinformatics
|December 27, 2022
PubMed
Summary

HCovDock is a novel computational tool for modeling covalent protein-ligand interactions. This efficient algorithm significantly outperforms existing methods in predicting covalent drug structures and binding poses.

Keywords:
covalent dockingmolecular dockingprotein–ligand complexscoring functionvirtual screening

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

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Area of Science:

  • Computational chemistry
  • Drug discovery
  • Structural biology

Background:

  • Covalent inhibitors are crucial in drug development due to their prolonged target engagement and high specificity.
  • Accurate computational modeling of covalent protein-ligand interactions is essential for efficient drug screening.
  • Existing molecular docking tools often struggle with the unique challenges of covalent bond formation.

Purpose of the Study:

  • To develop and validate HCovDock, an efficient and accurate computational algorithm for covalent docking.
  • To improve the prediction of covalent protein-ligand complex structures and binding modes.
  • To provide a valuable tool for virtual screening of potential covalent drugs.

Main Methods:

  • HCovDock integrates an incremental construction ligand sampling method.
  • A scoring function incorporating covalent bond energy was developed.
  • The algorithm was tested on a benchmark of 207 protein-ligand complexes and validated through virtual screening.

Main Results:

  • HCovDock demonstrated superior performance compared to seven state-of-the-art covalent docking programs.
  • Achieved high success rates of 70.5% (top 1) and 93.2% (top 10) in reproducing known covalent complex structures.
  • Exhibited computational efficiency, with average docking times of 5 minutes per ligand.

Conclusions:

  • HCovDock is a highly effective and efficient tool for modeling covalent protein-ligand interactions.
  • The algorithm shows significant promise for accelerating the discovery and development of covalent drugs.
  • HCovDock is freely available, facilitating broader research in covalent drug discovery.