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There is no real lack of drug targets any longer but the challenge of today's drug research is to find the corresponding drug-like molecules.
During the development process, the majority of compounds fail due to the lack of specific characteristics a drug must possess. The later the failure of a compound happens the higher are the related costs. In order to minimize the late failure rate, the aim is to make the lead compound not only interact with the target, but also have specific ADME/Tox properties - properties that usually require further improvement in the course of lead optimization.
Bicoll has developed its high throughput prediction toolbox BIPRESELECT to identify and sort out these "troublemaker-compounds" up-front to significantly lower the screening costs and increase productivity. The high potency of natural compounds and their proven capability to influence cell metabolism is promoted by data of selected early ADME properties. This will help you to focus development resources on the promising compounds exclusively.
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