DILIsym® is Quantitative systems toxicology (QST) software for modeling drug-induced liver injury (DILI). Learn about the latest update.
Join us for hands-on PBPK modeling, Quantitative Systems Pharmacology (QSP), and population PK/PD data analyses training near you. Space is limited, so register soon!
GastroPlus is a mechanistically based simulation software package that simulates intravenous, oral, oral cavity, ocular, inhalation, dermal/subcutaneous, and intramuscular absorption, pharmacokinetics, and pharmacodynamics in humans and animals.
ADMET Predictor™ 8.5 is a software tool that quickly and accurately predicts over 140 properties including solubility, logP, pKa, sites of CYP metabolism, and Ames mutagenicity.
Learn why hundreds of organizations, spanning all aspects of drug development from early discovery chemistry through clinical trials and on to generics, depend on us for the most comprehensive offering of powerful QSAR/PBPK modeling software and pharmacometric consulting expertise available to the pharmaceutical industry today.
Learn how you can use common in vitro or in silico predicted ADMET properties in our top-ranked physiologically based toxicokinetic (PBTK) simulations to address the 3R’s (replace, reduce, and refine) of animal testing and accurate extrapolation to humans.
Check out how our in silico modeling and simulation solutions can be used to evaluate toxicity (e.g., skin sensitization), predict toxicokinetics (local and systemic exposure of toxicants), and optimize dose and formulation strategies for products applied topically or ingested orally.
See the exciting ways we have repurposed our advanced machine learning technology, originally developed and proven best-in-class for molecule property prediction in pharmaceutical chemistry, to enable rapid development of custom applications for a wide variety of research activities.
Our commitment to user and client satisfaction is the foundation for our success and the source of long-term value for our shareholders and employees.
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Find out how your peers are applying our technology by reviewing journal articles describing various user case studies.
Read insightful articles, our unique views on industry trends, and a whole lot more on the evolution of model-driven drug development.
There are numerous resources published & presented each month, and we want to make sure you don't miss these featured scientific talks, journal articles, and more!