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.
ACD/Percepta builds on over a decade of expertise, to deliver prediction algorithms, considered the best in the industry by computational chemist. These are available as individual modules for in-depth understanding of structure-property relationships, or as profiling packages for quick insights. This Percepta platform seamless environment includes our full complement of physicochemical; absorption, distribution, metabolism, excretion (ADME); and toxicity properties. The Percepta platform offers a number of products and deployment options to suit your needs.
In silico prediction of PhysChem and ADME-Tox properties provides scientists with information to help understand structure-property relationships, and explain the behaviour of novel compounds in the life sciences.
ACD/Percepta provides an environment where experiments and knowledge may be leveraged time and again as organizational intelligence.
Percepta offers organizations the ability to easily extend the functionality of the platform to their domain. Plug-in proprietary models and algorithms or those from third parties to create a single platform for data-driven research.
Modify chemical structures for optimal property profiles by applying intelligence in structure design. Leverage project knowledge and in-built property prediction algorithms to guide chemical structure modification.
The Percepta platform provides a simple and visually-appealing user interface to deliver predicted property information.
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.