pKa (PhysChem Suite™)
Acid Dissociation Calculator
Predict pKa (acid dissociation and ionization) values for organic molecules from chemical structure.
Trusted By Companies Worldwide
Explore
Accurately predict acid dissociation constants directly from structure.
Use the pKa module to:
Calculate pKa for organic compounds, under standard conditions.
Visualize all ionizable centers in your compound.
Plot the distribution of all ionized microspecies as a function of pH.
Train the algorithm with your own experimental data.
Benefits
Everything You Need in a pKa Calculator
Accurate, Reliable Predictions
- Predictions are based on a database of more than 26,000 compounds, continuously expanded to improve accuracy.
- Evaluate prediction confidence using a reliability index, similar structures, and literature references for the original experimental data.
- Combine results from two complementary prediction algorithms in a single application.
Gain Deeper Insight into Ionization
- Assess the distribution of ionized states and microspecies from a variety of plots.
- Understand molecular behavior with automatically generated plots of pKa versus pH.
- Identify trends and prioritize compounds using scatter plots, filtering, sorting, and ranking tools.
- Easily identify ionizable groups with color-mapping.
Improve Predictions with Machine Learning
- Get the accuracy of an in-house model from a commercial platform by training with your own experimental pKa data.
- Expand the applicability domain into proprietary chemical space using project-specific data.
- Build curated training sets for each project to achieve fine-tuned prediction accuracy.
Physicochemical property predictions you can trust
pKa FAQs
Ready to take the next step?
Beyond pKa Prediction
Explore the wider Percepta Platform for additional molecular property predictions.
Talk to our team
Schedule a consultation with our experts to discuss your workflow, requirements, and implementation needs
Stay up to date
Stay up-to-date on all the latest insights, research and product news from Revvity Signals.