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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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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 Networks02:26

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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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Ligand Binding and Linkage00:49

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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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The Equilibrium Binding Constant and Binding Strength02:18

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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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Quantum algorithm for protein-ligand docking sites identification in the interaction space.

Ioannis Liliopoulos1, Georgios D Varsamis1, Theodora Karamanidou2

  • 1Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, 67100, Greece.

Journal of Computer-Aided Molecular Design
|July 5, 2025
PubMed
Summary
This summary is machine-generated.

Quantum computing offers a new approach to drug design. A novel quantum algorithm effectively identifies protein-ligand docking sites, showing promise for future drug discovery applications.

Keywords:
Drug designLigand dockingQuantum algorithmsQuantum computing

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Area of Science:

  • Computational chemistry
  • Quantum computing applications
  • Drug discovery

Background:

  • Drug development relies heavily on computational methods for protein-ligand binding analysis.
  • High-Performance Computing has limitations in addressing the quantum mechanical nature of ligand docking.
  • There is a growing need for advanced computational techniques in drug design.

Purpose of the Study:

  • To introduce a novel quantum algorithm for protein-ligand docking site identification.
  • To explore the application of quantum computing in addressing challenges in drug design.
  • To demonstrate the efficacy of quantum algorithms in computational drug discovery.

Main Methods:

  • Expansion of the protein lattice model to incorporate protein-ligand interactions.
  • Introduction of quantum state labeling for identifying interaction sites.
  • Implementation of a modified Grover quantum search algorithm for docking site identification.

Main Results:

  • The quantum algorithm successfully identified protein-ligand docking sites on both quantum simulators and real quantum hardware.
  • The algorithm demonstrated high scalability, suitable for large protein structures.
  • The study confirms the potential of quantum algorithms in computational drug design.

Conclusions:

  • Quantum computing presents a viable and powerful tool for enhancing drug design processes.
  • The developed quantum algorithm is effective for protein-ligand docking site identification.
  • This approach is well-suited to leverage future advancements in quantum computing power.