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Simulations Plus Enters New Collaboration to Enhance Machine Learning Models for Ionization Constants (pKa)

Extensive data sharing with large pharmaceutical partner will expand property prediction space and improve model performance.

Simulations Plus, Inc. a leading provider of modeling and simulation software and services for pharmaceutical safety and efficacy, announced it has entered a new collaboration with a large pharmaceutical company to extend the industry’s top-rated machine learning models for the prediction of ionization constants (pKa) in the ADMET Predictor platform.

In this collaboration, the partner company will contribute tens of thousands of proprietary pKa measurements. The team at Simulations Plus will aim to leverage the expansive databases to improve the accuracy of predictions, and extend the chemical coverage space, using its novel machine learning and atomic descriptor calculation methods.

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Dr. Robert Fraczkiewicz, Research Fellow and project lead, said: “The ionization of molecules in water impacts nearly all properties driving the absorption, distribution, metabolism, and elimination processes which occur in vivo and determine whether a molecule can be turned into a drug. We identified early the importance of accurately, and rapidly, predicting this information using machine learning approaches and were fortunate to benefit from government grants and other collaborations over the years to develop novel 2D pKa models which have consistently outperformed other software and are on par with the accuracy of the best computationally intensive ab initio methods. This new partnership will enhance our current approaches and further distinguish ADMET Predictor as the preeminent property prediction platform in the drug discovery space. We value the trust and confidence our partner has in the people and technologies at Simulations Plus, and our team is looking forward to working with them to achieve our mutual goals.”

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“The surging popularity of our pKa models and associated ionization-related property predictions, coupled with the seamless integration with the GastroPlus platform in our high-throughput pharmacokinetic (HTPK) simulation technology, have contributed to the accelerated adoption of ADMET Predictor at the interface between discovery and development,” added Dr. Eric Jamois, director for key accounts and strategic alliances. “This new collaborative effort will combine the strengths of both companies and result in significant advancements for predictive modeling. Simulations Plus ensures that improvements made to ADMET Predictor are available for all clients to apply to their research activities, and we continue to invite future collaborations which benefit our entire user community and, most importantly, the patients that we serve.”

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