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Ligand Binding and Linkage00:49

Ligand Binding and Linkage

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 the...
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

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 the...
Ligand Binding Sites02:40

Ligand Binding Sites

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 (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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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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Q-Dock: Low-resolution flexible ligand docking with pocket-specific threading restraints.

Michal Brylinski1, Jeffrey Skolnick

  • 1Center for the Study of Systems Biology, School of Biology, Georgia Institute of Technology, 250 14th Street NW, Atlanta, Georgia 30318, USA.

Journal of Computational Chemistry
|February 23, 2008
PubMed
Summary

Q-Dock, a low-resolution docking method, accurately predicts ligand binding to low-quality protein structures. It outperforms all-atom methods, especially with distorted models, by identifying more contacts and binding residues.

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Area of Science:

  • Computational Biology
  • Structural Biology
  • Drug Discovery

Background:

  • Accurate protein structures are crucial for reliable ligand docking.
  • The increasing number of predicted protein structures necessitates methods for low-quality targets.
  • Existing docking methods struggle with low-resolution or modeled protein receptors.

Purpose of the Study:

  • To develop and optimize Q-Dock, a novel low-resolution flexible ligand docking approach.
  • To enhance ligand docking accuracy against imperfect protein receptor models.
  • To introduce a pocket-specific potential for improved docking in low-quality targets.

Main Methods:

  • Development of a knowledge-based potential for Q-Dock.
  • Implementation of a low-resolution flexible ligand docking strategy.
  • Validation using self-docking on crystal structures and decoy-docking on distorted models.
  • Introduction of a pocket-specific protein-ligand interaction potential derived from holo-templates.

Main Results:

  • Q-Dock demonstrated satisfactory accuracy in self-docking, comparable to all-atom docking.
  • Q-Dock recovered significantly more specific contacts and binding residues against distorted models than all-atom methods.
  • All-atom models derived from Q-Dock's low-resolution outputs can be refined via energy minimization.
  • The pocket-specific potential boosted Q-Dock's success rate 6.3-fold compared to the Dolores method.

Conclusions:

  • Q-Dock offers a robust solution for ligand docking against low-quality protein structures.
  • The method shows superior performance in identifying binding interactions with distorted receptor models.
  • The integration of pocket-specific potentials further enhances docking accuracy for challenging targets.