Innovative methodology for
novel drug discovery
Our technology combines deep learning approaches with molecular dynamics simulation and quantum calculation
to create cutting-edge computational modules essential for scientists to rapidly search for novel therapeutics for diseases.
Key Technologies of Pharmulator™

Deep Learning
Pharmulator™ can predict a protein’s native 3D structure based solely on amino acid sequences.

MD Simulation
Pharmulator™ offers the analysis of dynamic “evolution” of protein-ligand bindings.

Quantum Computation
The investigation of the electronic and nuclear structures of atoms leads to more sophisticated drugs.

Network Theory
Network Theory plays a key role to predict acute and chronic toxicity of novel drugs.
PharmCADD’s AI Protein Folding Algorithms
Enable Drug Design Faster than Ever
R&D Team
Our Fabulous Research Team consists of
multinational scientists and engineers in the fields
of Biophysics, Drug Design, Chemical Science, Quantum Physics,
Pharma-Experimental Biology, Computer Engineering,
Data Analysis and Deep Learning.
Meet the Teammultinational scientists and engineers in the fields
of Biophysics, Drug Design, Chemical Science, Quantum Physics,
Pharma-Experimental Biology, Computer Engineering,
Data Analysis and Deep Learning.