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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.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
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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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The Equilibrium Binding Constant and Binding Strength

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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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Protein-Drug Binding: Determination Methods

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Determining protein-drug binding can be achieved through indirect and direct methods, each providing valuable insights into the interaction between proteins and drugs.
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Related Experiment Video

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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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DiffPepDock: Efficient protein-peptide docking and binder screening via SE(3)-equivariant diffusion.

Yuzhe Wang1, Fanhao Wang1, Laiyi Feng2

  • 1Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.

Protein Science : a Publication of the Protein Society
|October 15, 2025
PubMed
Summary

DiffPepDock, a new protein-peptide docking tool, accurately models interactions using equivariant diffusion models. This efficient method aids drug discovery by improving peptide binding predictions and complementing structure prediction tools.

Keywords:
DiffPepDockdiffusion modelsprotein–peptide docking

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Area of Science:

  • Computational biology
  • Structural biology
  • Drug discovery

Background:

  • Accurate protein-peptide interaction modeling is vital for understanding biological processes and developing new therapeutics.
  • Existing computational methods often struggle with accuracy, generalizability, efficiency, and integrating prior binding information.

Purpose of the Study:

  • To introduce DiffPepDock, an efficient and accurate protein-peptide docking tool.
  • To enhance protein-peptide interaction modeling by leveraging SE(3)-equivariant diffusion models.
  • To provide a practical tool for drug discovery and peptide therapeutic development.

Main Methods:

  • Developed DiffPepDock, a tool utilizing SE(3)-equivariant diffusion models for protein-peptide docking.
  • Pretrained the model on synthetic protein-fragment complexes and fine-tuned it on experimental protein-peptide structures.
  • Incorporated user-specified binding priors, such as motifs or reference ligands, to guide pocket selection and improve accuracy.

Main Results:

  • DiffPepDock demonstrates accuracy comparable to state-of-the-art methods like AlphaFold3, with significantly reduced inference time.
  • Case studies show successful reconstruction of native binding structures, even in challenging scenarios where AlphaFold3 faced limitations.
  • Achieved competitive performance in in silico screening for identifying peptide binders on predicted protein targets.

Conclusions:

  • DiffPepDock offers a practical and reliable solution for protein-peptide docking.
  • The tool complements existing biomolecular structure prediction methods and aids peptide therapeutic modeling.
  • Public availability and interactive demonstrations facilitate broader adoption and application in research.