The author revisited their 1998 research on predicting human intestinal absorption from molecular structure, finding that the original six descriptors still hold significant predictive power even with modern datasets and methods. This revalidation process, enabled by agentic coding and larger public data availability, highlights a shift in scientific practice from a "publish first, access later" model to an "access first, publish later" approach. The author's current workflow prioritizes making code and data openly accessible via platforms like GitHub and bioRxiv before formal journal publication. AI
IMPACT Agentic coding and increased data availability are enabling faster and more robust scientific validation, potentially accelerating discovery.
RANK_REASON The item discusses the revalidation of a 25-year-old scientific hypothesis using modern computational methods and data, fitting the research category. [lever_c_demoted from research: ic=1 ai=0.7]
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