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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.
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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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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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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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Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...
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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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QUBO Problem Formulation of Fragment-Based Protein-Ligand Flexible Docking.

Keisuke Yanagisawa1,2, Takuya Fujie3, Kazuki Takabatake4

  • 1Department of Computer Science, School of Computing, Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8550, Japan.

Entropy (Basel, Switzerland)
|May 24, 2024
PubMed
Summary

This study introduces fragment-based protein-ligand flexible docking as a quadratic unconstrained binary optimization (QUBO) problem. The novel QUBO formulation accurately predicts near-native binding poses for drug discovery using quantum annealing.

Keywords:
SQBM+combinatorial optimizationcompound fragmentflexible dockingprotein–ligand dockingquadratic unconstrained binary optimization (QUBO)quantum annealingsimulated quantum annealer

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Area of Science:

  • Computational chemistry
  • Structural biology
  • Quantum computing

Background:

  • Protein-ligand docking is crucial for structure-based drug discovery, estimating binding modes and energies.
  • Previous quantum annealing approaches for docking overlooked essential internal compound flexibility.

Purpose of the Study:

  • To formulate a fragment-based protein-ligand flexible docking method using a QUBO problem.
  • To incorporate internal degrees of freedom into quantum-annealed docking calculations.

Main Methods:

  • Developed a QUBO formulation for flexible docking, focusing on rigid chemical fragments.
  • Incorporated interaction energy, fragment clashes, covalent bonds, and placement constraints into the Hamiltonian.
  • Utilized a simulated quantum annealer (SQBM+) for proof-of-concept redocking of Aldose reductase.

Main Results:

  • The QUBO formulation successfully predicted a near-native binding pose (RMSD = 1.26 Å) for the Aldose reductase-compound complex.
  • Post-docking energy minimization further refined the pose to high accuracy (RMSD = 0.27 Å).

Conclusions:

  • The proposed QUBO formulation for fragment-based flexible docking is valid and effective.
  • This approach advances quantum annealing applications in drug discovery by handling molecular flexibility.