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Related Concept Videos

Protein-protein Interfaces02:04

Protein-protein Interfaces

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 polypeptide...

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Related Experiment Video

Updated: Jun 17, 2026

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

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Water-guided docking improves prediction of protein-glycan complexes.

J O Lannot1,2, E L Rey1,2, M D Gamarra1,2

  • 1Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires (FCEyN-UBA), Pabellón 2 de Ciudad Universitaria, Ciudad de Buenos Aires C1428EHA, Buenos Aires, Argentina.

Glycobiology
|January 16, 2026
PubMed
Summary
This summary is machine-generated.

We developed a guided docking protocol using crystallographic water sites (CWS) to improve protein-carbohydrate complex structure prediction. This novel approach enhances glycan pose prediction accuracy for drug discovery.

Keywords:
AutoDock Vinacarbohydrate dockingguided dockingwater sites

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Area of Science:

  • Structural biology
  • Computational chemistry
  • Glycosciences

Background:

  • Predicting protein-carbohydrate complex structures is difficult due to glycan flexibility and binding site characteristics.
  • Accurate modeling is crucial for understanding biological processes and designing therapeutics.

Purpose of the Study:

  • To develop and validate a novel guided docking protocol for enhanced glycan pose prediction.
  • To leverage crystallographic water sites (CWS) for improved accuracy in modeling protein-glycan interactions.

Main Methods:

  • Developed the WII Guided Approach (WIIGA) using AutoDock Vina (ADV) and crystallographic water sites (CWS).
  • Defined Waters Ideal Interactions (WII) from apo structures to guide docking simulations.
  • Benchmarked WIIGA against conventional methods using a dataset of 30 protein-oligosaccharide complexes.

Main Results:

  • The WIIGA protocol significantly outperformed existing methods (ADV, VC, VC CH-π, GTV) in pose prediction accuracy.
  • Achieved robust performance even without holo structures and successfully cross-docked glycomimetics.
  • Demonstrated improved accuracy across a range of oligosaccharide lengths (tetra- to nonasaccharides).

Conclusions:

  • Solvent-derived information, specifically CWS, is valuable for enhancing molecular docking accuracy.
  • The WIIGA protocol offers a versatile and easily implementable tool for glyco-ligand modeling and structure-based design.
  • This approach advances the field of structural glycobiology and aids in the development of glycan-binding protein therapeutics.