HIGHLIGHTS
- who: Mauro Nascimben and Lia Rimondini from the Department of Health Sciences, Center on Autoimmune and Allergic Diseases CAAD, Enginsoft SpA, Padua, Italy have published the research work: Molecular Toxicity Virtual Screening Applying a Quantized Computational SNN-Based Framework, in the Journal: Molecules 2023, 28, 1342. of /2023/
- what: This study aims to employ SNN for toxicity prediction using datasets of compounds converted into MAACS fingerprints. The SNN investigation focused on the thyroid function mediated by TR genes regulated by the GH3 cell line. Even if this investigation proposed SNNs employing traditional hardware (laptop computer . . .
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