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Related Concept Videos

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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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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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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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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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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Updated: May 16, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction
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Benchmarking Zinc-Binding Site Predictors: A Comparative Analysis of Structure-Based Approaches.

Cosimo Ciofalo1,2, Vincenzo Laveglia1, Claudia Andreini1,2,3

  • 1Department of Chemistry, University of Florence, Via della Lastruccia 3, Sesto Fiorentino 50019, Italy.

Journal of Chemical Information and Modeling
|May 15, 2025
PubMed
Summary

Predicting metal-binding sites in metalloproteins is crucial for metalloproteomics. This study found AlphaFold models improve prediction accuracy compared to experimental apoprotein structures, highlighting their utility in computational biology.

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Area of Science:

  • Biochemistry and Structural Biology
  • Computational Biology and Bioinformatics

Background:

  • Metalloproteins are essential for life, utilizing metal ions for structure and function.
  • Computational tools for predicting metal-binding sites are advancing metalloproteomics research.

Purpose of the Study:

  • To evaluate the performance of state-of-the-art structure-based zinc-binding site predictors.
  • To compare predictor performance on experimental apoprotein structures versus AlphaFold models.

Main Methods:

  • Selection of advanced structure-based predictors for zinc-binding sites.
  • Evaluation of predictor accuracy using two distinct datasets: experimental apoprotein structures and AlphaFold-generated models.

Main Results:

  • Predicting metal-binding sites in experimental apoprotein structures presented significant challenges, yielding lower-than-expected performance due to metal-induced structural changes.
  • Predictions utilizing AlphaFold models demonstrated substantially improved accuracy, indicating these models better represent the metal-bound (holo) forms of metalloproteins.

Conclusions:

  • AlphaFold models offer a promising foundation for accurate metal-binding site prediction in metalloproteins.
  • Computational prediction of metal-binding sites holds significant potential for advancing metalloproteomics research.