pH-aware Molecular Docking Suite
Advanced computational toolkit integrating pH-dependent protonation states, machine learning pKa prediction, and ensemble docking for accurate drug-target interaction modeling at physiological conditions.
±0.5
pKa RMSE
10x
Faster than QM
95%
Accuracy
Meet Our Team
Passionate researchers dedicated to advancing computational chemistry
Ravindra Lakkireddy
Head of training, scoring, and data; ablation & quantum integration
Gianluca Radice
Defined GCNN frameworks; led SMILES→web pipeline
Denis Motuzenko
Conceptual & chemical lead; interpretation layer & quantum logic
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