Clearly the industry standard PhysChem prediction models, and deserve the position. They are the most consistent predictions that are applicable and usable in more complex models of drug-likeness.
Computational Chemist
ACD/Percepta builds on over a decade of expertise, and industry-leading prediction capabilities, to deliver a flexible project support platform for R&D. This seamless environment includes our full complement of PhysChem and ADME-Tox applications.
In silico prediction of physicochemical; absorption, distribution, metabolism, excretion (ADME); and toxicity properties provides scientists with information to help understand structure-property relationships, and explain the behaviour of novel compounds in the life sciences. Dynamic visualization of results, where structural fragment and atomic contributions can be associated with data, provide the scientist with insights that can direct new projects; accelerate decision-making; and reduce trial-and-error experimentation.
The Percepta platform offers a number of products and deployment options to suit your needs:
Our prediction algorithms, considered the best in the industry by computational chemists, are available as individual modules for in-depth understanding of structure-property relationships, or as profiling packages for quick insights.
Percepta offers a number of features that allow organizations to easily extend the functionality of the platform to their domain and, thereby, provide an environment where experiments and knowledge may be leveraged time and again as organizational intelligence:
Prediction and project knowledge can be applied directly in the Percepta structure design solution to modify chemical structures for optimal property profiles.
Investigate and characterize molecules through physicochemical and ADME-Tox property prediction; analyze and interpret results to gain knowledge; apply corporate intelligence to speed and guide future work.
