Modern screening approaches generate rich datasets that capture how large collections of compounds interact with biological targets. However, discovery teams often rely on only a small portion of that information when selecting compounds for synthesis, potentially missing important signals across the broader dataset.

In this webinar, we explore how evaluating the full screening landscape can reveal structure–function insight across related compounds and guide more informed chemistry decisions. By looking beyond individual hits, scientists can better understand which chemical series merit further investment and which should be deprioritized earlier in the program.