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Related Concept Videos

Ligand Binding Sites02:40

Ligand Binding Sites

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.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
Ligand Binding Sites02:40

Ligand Binding Sites

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.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

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 the...
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

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 the...
The Equilibrium Binding Constant and Binding Strength02:18

The Equilibrium Binding Constant and Binding Strength

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:
Conserved Binding Sites01:49

Conserved Binding Sites

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 analyses the...

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Related Experiment Video

Updated: Jul 2, 2026

Protein Target Prediction and Validation of Small Molecule Compound
10:21

Protein Target Prediction and Validation of Small Molecule Compound

Published on: February 23, 2024

Augmented BindingNet dataset for enhanced ligand binding pose predictions using deep learning.

Hui Zhu1,2, Xuelian Li2,3, Baoquan Chen2

  • 1Tsinghua Institute of Multidisciplinary Biomedical Research, Tsinghua University, Beijing, 102206, China.

Npj Drug Discovery
|June 30, 2026
PubMed
Summary
This summary is machine-generated.

BindingNet v2 offers a large, diverse dataset for protein-ligand interactions, improving deep learning models for drug design. This enhanced dataset boosts binding pose prediction accuracy, crucial for developing new therapeutics.

Related Experiment Videos

Last Updated: Jul 2, 2026

Protein Target Prediction and Validation of Small Molecule Compound
10:21

Protein Target Prediction and Validation of Small Molecule Compound

Published on: February 23, 2024

Area of Science:

  • Computational chemistry and structural biology
  • Drug discovery and development

Background:

  • High-quality protein-ligand complex data is essential for structure-based drug design.
  • Current datasets are limited in diversity and quantity, hindering comprehensive interaction analysis.

Purpose of the Study:

  • To introduce BindingNet v2, an expanded dataset of modeled protein-ligand binding complexes.
  • To enhance the understanding and prediction of protein-ligand interactions using deep learning models.

Main Methods:

  • Developed BindingNet v2 using an enhanced template-based modeling workflow from BindingNet v1.
  • Incorporated pharmacophore and molecular shape similarities into the dataset construction.
  • Evaluated the dataset's impact on the Uni-Mol model for binding pose generation and physics-based refinement.

Main Results:

  • BindingNet v2 contains 689,796 modeled complexes across 1794 protein targets.
  • Augmenting PDBbind with BindingNet v2 improved Uni-Mol's success rate on PoseBusters from 38.55% to 64.25%.
  • Physics-based refinement further increased the success rate to 74.07%, meeting validity checks.

Conclusions:

  • Larger and more diverse datasets significantly enhance the accuracy of deep learning models for binding pose prediction.
  • BindingNet v2 represents a valuable resource for advancing structure-based drug design and computational toxicology.
  • The findings underscore the importance of data augmentation in improving the reliability of molecular modeling.