Driving Smarter Chemistry in Drug Discovery: Using Full DEL Data to Improve Early Compound Decisions

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. This approach helps 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.

Key Learning Objectives:
– How evaluating the full DEL screening dataset can reveal meaningful patterns across related compounds, not just individual enriched binders
– Why examining structure–function trends across chemical series can improve confidence in early synthesis decisions
– How a more complete view of DEL data can help discovery teams prioritize the right series and reduce downstream risk