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In this In Silico Drug Discovery Workshop talk from October 24, 2024, Dr. Joel Karpiak discusses the importance of collaborative team science during the initiation and throughout the drug discovery process for a seamless data flow. Joel joined GSK in 2015 from UCSF, where he focused on large-scale modeling and virtual screening for orphan GPCRs. Initially working in small molecule design for over 5 years, he transitioned over into growing the Protein Design & Informatics group for the past 3 years. In this role, he championed how data can be generated and used to drive structure- and machine learning-based design of reagents, biocatalysts, and therapeutic proteins to support new ways of working in discovery and development. Now leading the newly formed Data and Predictive Sciences organization that centralizes data science, computational design, and enterprise systems and data standards, Joel’s team enables a smooth flow of quality, model-ready experimental and in silico data for re-use across GSK R&D. For more information about the Assay Guidance Manual eBook, workshops, and webinars, visit https://ncats.nih.gov/research/resear....