A data-driven guide to small molecule drug discovery and development
In modern drug discovery, successfully navigating the progress from molecular concept to viable therapeutic often hinges on the quality, accessibility, and interpretability of the data guiding each stage of decision-making.
The value of high-quality, context-rich data lies in its ability to guide critical decisions with speed and precision. However, even well-structured R&D programmes face challenges when critical insights are scattered across multiple sources. This fragmentation slows decision-making, extends timelines, and increases the risk of losing promising compounds.
This new white paper from Excelra takes a closer look at how discovery teams actually experience the small molecule development journey, with a focus on how inconsistent SAR and ADMET data can impact key research decisions.
Drawing on real world examples and informed by curated intelligence from the GOSTAR knowledge base, the report examines each stage of discovery, including target identification, hit discovery, lead optimisation, developability assessment, and the transition into regulated development, highlighting where friction arises and how high-quality, analytics-ready data can accelerate progress.
What you’ll learn from this white paper:
- Where data gaps and inconsistencies slow down drug discovery
- How SAR and ADMET data impact decision-making across stages
- Key friction points across the discovery lifecycle
- How curated, analytics-ready data improves speed and confidence
Discover how to move from data to decision faster, with greater confidence.
Download the full white paper now to accelerate your discovery workflow.
About Excelra
Excelra is a leading Informatics company providing data analytics and informatics services to life sciences clients globally. From offices in Boston, San Francisco, Ghent, Utrecht, London, and Hyderabad, Excelra’s 1000+ domain experts operate at the intersection of science and technology by structuring and harmonising diverse scientific data sets; building R&D data engineering solutions, tailored computational models, optimised analysis pipelines; and developing novel informatics solutions to help our partners make ground-breaking discoveries. For more information, visit excelra.com.
