Advisory self-classifications for 54,135 substances based on (Q)SAR predictions from the Danish (Q)SAR database, VEGA QSAR and the OECD QSAR Toolbox

Nikolai Georgiev Nikolov, Henrik Tyle, Magnus Løfstedt, Eva Bay Wedebye

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Medicine & Life Sciences