Hit List Evaluation

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During compound screening, primary hit lists are characterized by a large number of false positives. This is a desired effect that is consciously accepted. After all, one does not want to lose a potentially promising new structure. This makes it all the more important to use selected filtering methods and follow-up experiments to identify the compounds that actually show dose-dependent potency and efficacy at the target before investing further work in optimizing the structures found in the primary campaign. Advanced experimental approaches are combined with virtual chemical search algorithms to generate a well-developed hit list of compounds that show predictable competitive behavior in terms of expected dose-response dependence.

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