Predict pKa, logP/D, and solubility with unmatched precision and speed. Now with enhanced PROTAC mode, refined models, and an intuitive graphical interface.
For over 40 years, Molecular Discovery has delivered cutting-edge computational tools to global pharma and biotech leaders. Our solutions, including the gold-standard MoKa™, are used daily in molecular modeling, lead optimization, and ADME prediction workflows.
Trained on over 25,000 pKa values, with mean error as low as 0.4 log units.
Supports pKa, logP, logD, logS0, and solubility profile predictions.
Supports pKa, logP, logD, logS0, and solubility profile predictions.
Capable of millions of predictions per hour in CLI mode.
Dedicated algorithms for Proteolysis Targeting Chimeras
AI-enabled automated processing of external experimental data to further train and refine predictions.
Contact our team for technical guidance or licensing options.
We assess your workflow to tailor the right edition.
Quick deployment on Windows or Linux systems.
Start leveraging MoKa™ in your ADME, QSAR, or docking pipelines.
MoKa™ is available in two editions to fit different needs.
| Feature | Solo Edition | Suite Edition |
|---|---|---|
| Graphical interface for predictions | ||
| Automatic comparison with experimental data | ||
| Command-line batch predictions | ||
| Generation of ionization states | ||
| Tautomer enumeration & stability estimation | ||
| System training module |
From the very first use, it’s clear that the software has been thoughtfully developed, with great attention to making it exceptionally user-friendly.
Retraining pKa models with a company’s internal data provides tremendous value for a pharmaceutical company.
The capability to rapidly and automatically identify the key tautomers of chemical structures and compute their properties greatly boosts the software’s performance.
Fill out the form below and our team will reach out to provide you with all the information you need. You’ll also receive access to a personalized MoKa demo, tailored to your research needs and technical environment.
pKa values are influenced by the three-dimensional structure of molecules, yet only groups close to the ionizable center can affect their characteristics. MoKa is designed to capture these effects, enabling accurate predictions regardless of molecular complexity. Impressively, it delivers the same high performance even for predicting the pKa of proteins.
The SOLO version gives acces to the main MoKa GUI to visualize the predicted properties of input molecules, with almost no limitation in size. The SUITE version lets the user run and export predictions in command line mode, is extremely easy to be integrated in any workflow and contains also Kibitzer program, GUI and command line, the module to internally retrain the models of pKa, logP/logD and logS0 with proprietary experimental data.
Yes, MoKa can be seamlessly integrated into any automated pipeline. Molecules are checked and corrected for missing or excess hydrogens, the most abundant tautomers are selected, pKa profiles are calculated across different pH values, structural abundances are tracked, and results are saved in various and customizable formats.