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.

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±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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