ArticleJournal of chemical information and modeling2026
PFASGroups: An Open-Source Framework for Automated Identification, Structural Classification, and Prioritization of Per- and Polyfluoroalkyl Substances.
Article in Journal of chemical information and modeling, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
3 authors.
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Abstract
Per- and polyfluoroalkyl substances (PFAS) are highly persistent synthetic chemicals that are widely detected in environmental and biological systems and are increasingly targeted by global regulatory actions. Their structural diversity, together with multiple and evolving PFAS definitions, complicates automated identification and classification across large chemical data sets. Here we present
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.