HyperLab — AI drug discovery Platform

Small Molecule Discovery

Hyperbinding

Determine the synthesis priority

Hyper Binding uses artificial intelligence to predict drug-protein binding energy.

The stronger the prediction value (binding score), the higher the probability of showing activity.

A molecule with a binding score of -10 kcal/mol is more likely to be active compared to a molecule with -8 kcal/mol.

This process can be easily performed with just a few clicks.

Easier and more accurate than docking

Millions of drug-protein data and binding structures are used, making it more powerful. Unlike docking, it can be easily used by experimental researchers as well.

Show high correlation with experiments

Hyper Binding shows a higher correlation with experimental values compared to conventional docking and other deep learning models.

Artificial intelligence model in Hyper Binding

Hyper Binding uses a physics informed deep learning model.

By combining physical principles with deep learning, it shows high predictive performance even with limited data.

Hyper Binding is continuously becoming more accurate by refining physical principles and learning from an increasing amount of data.

Visualize the three-dimensional binding structure

With just one click, you can visualize the three-dimensional structure and analyze interactions between ligands and proteins.

You can obtain ideas for molecular design to improve biological activity.

Small Molecule Discovery

Hyperbinding

Small Molecule Discovery

Hyperbinding

Determine the synthesis priority

Hyper Binding uses artificial intelligence to predict drug-protein binding energy.

The stronger the prediction value (binding score), the higher the probability of showing activity.

A molecule with a binding score of -10 kcal/mol is more likely to be active compared to a molecule with -8 kcal/mol.

This process can be easily performed with just a few clicks.

Easier and more accurate than docking

Millions of drug-protein data and binding structures are used, making it more powerful. Unlike docking, it can be easily used by experimental researchers as well.