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A major challenge in drug discovery is to distinguish the molecular targets of a bioactive compound from the hundreds to thousands of additional gene products that respond indirectly to changes in the activity of the targets. Here, we present an integrated computational-experimental approach for computing the likelihood that gene products and associated pathways are targets of a compound. This is...
In the present study, a stepwise causal adjacent relationship discovery (STEPCARD) method has been developed to identify active components of herbal medicine. The combination of two active components had been successfully recognized from a typical Chinese formulation. Animal experiments validated the computational result. It indicates current work might be helpful to accelerate the process of new...
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