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Integration of in silico methods and computational systems biology to explore endocrine-disrupting chemical binding with nuclear hormone receptors
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Additional file 1 of Examination of the endocrine-disrupting properties of “active chlorine generated from seawater by electrolysis” in response to the European Biocidal Products Regulation: current knowledge and methodological challenges
inferred← citeshttps://doi.org/10.6084/m9.figshare.26633148openalex-snapshot
Additional file 2 of Examination of the endocrine-disrupting properties of “active chlorine generated from seawater by electrolysis” in response to the European Biocidal Products Regulation: current knowledge and methodological challenges
inferred← citeshttps://doi.org/10.6084/m9.figshare.26633151openalex-snapshot
Additional file 3 of Examination of the endocrine-disrupting properties of “active chlorine generated from seawater by electrolysis” in response to the European Biocidal Products Regulation: current knowledge and methodological challenges
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