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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.
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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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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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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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Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
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Analyzing Protein Architectures and Protein-Ligand Complexes by Integrative Structural Mass Spectrometry
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Improving Stereochemical Limitations in Protein-Ligand Complex Structure Prediction.

Ryuichiro Ishitani1,2, Yoshitaka Moriwaki1,3

  • 1Department of Computational Drug Discovery and Design, Medical Research Laboratory, Institute of Integrated Research, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo-Ku, Tokyo 113-8510, Japan.

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Summary
This summary is machine-generated.

AlphaFold3 struggles with ligand stereochemistry in protein complex predictions. A new restraint-guided method fixes chirality and geometry errors, improving drug discovery applications.

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Area of Science:

  • Structural biology
  • Computational chemistry
  • Drug discovery

Background:

  • AlphaFold3 accurately predicts protein complexes with biomolecules, including small molecular ligands.
  • Predicted ligand structures often exhibit stereochemical errors like incorrect chirality, bond lengths, and angles.

Purpose of the Study:

  • To evaluate the stereochemical accuracy of AlphaFold3 and Boltz-1 for ligand structures.
  • To develop a method for correcting stereochemical errors in predicted protein-ligand complexes.

Main Methods:

  • Comprehensive evaluation of AlphaFold3 and Boltz-1 predictions.
  • Development of a restraint-guided inference method incorporating stereochemical restraints during reverse diffusion.

Main Results:

  • AlphaFold3 and Boltz-1 showed significant limitations in ligand stereochemistry (chirality, bond lengths, angles).
  • The restraint-guided method perfectly reproduced input chirality and improved ligand bond/angle geometries.
  • Binding pose prediction performance was maintained.

Conclusions:

  • The restraint-guided inference method effectively addresses stereochemical errors in AlphaFold3 predictions.
  • This method enhances the reliability of protein-ligand complex structure prediction for structural biology and drug discovery.