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Hayk Navasardyan

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Datasets Construction and Development of QSAR Models for Predicting Micronucleus In Vitro and In Vivo Assay Outcomes

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By Hrant Khachatrian, Lusine Khondkaryan, Ani Tevosyan, Hayk Navasardyan
| MDPI
3. Results and Discussion 3.1. Datasets Chemical libraries for Q(SAR) models should constantly be updated to ensure better predictive performance and high coverage. To the best of our knowledge, only recently was the first dataset on MN in vitro, consisting of 380 samples, reported by Baderna et al. [24]. By utilizing a cutting-edge text-mining technique, we managed to increase this number by almost three times.
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