A Visual Analytics Model Applied to Lead Generation Library Design in Drug Discovery

Lead generation library design is an iterative process of selecting compounds that would make ideal drug candidates. We propose a visual analytics model for effective evaluation of various compound selection strategies. This model incorporates a clustering strategy and a set of evaluation metrics for understanding the current state of knowledge to enable decision making and process customization between iterations.