Hisaki, Tomoka published the artcileIntegration of read-across and artificial neural network-based QSAR models for predicting systemic toxicity: a case study for valproic acid, Recommanded Product: 2-Butylhexanoic acid, the publication is Journal of Toxicological Sciences (2020), 45(2), 95-108, database is CAplus.
We present a systematic, comprehensive and reproducible weight-of-evidence approach for predicting the no-observed-adverse-effect level (NOAEL) for systemic toxicity by using read-across and quant. structure-activity relationship (QSAR) models to fill gaps in rat repeated-dose and developmental toxicity data. As a case study, we chose valproic acid, a developmental toxicant in humans and animals. High-quality in vivo oral rat repeated-dose and developmental toxicity data were available for five and nine analogs, resp., and showed qual. consistency, especially for developmental toxicity. Similarity between the target and analogs is readily defined computationally, and data uncertainties associated with the similarities in structural, physico-chem. and toxicol. properties, including toxicophores, were low. Uncertainty associated with metabolic similarity is low-to-moderate, largely because the approach was limited to in silico prediction to enable systematic and objective data collection. Uncertainty associated with completeness of read-across was reduced by including in vitro and in silico metabolic data and expanding the exptl. animal database. Taking the “worst-case” approach, the smallest NOAEL values among the analogs (i.e., 200 and 100 mg/kg/day for repeated-dose and developmental toxicity, resp.) were read-across to valproic acid. Our previous QSAR models predict repeated-dose NOAEL of 148 (males) and 228 (females) mg/kg/day, and developmental toxicity NOAEL of 390 mg/kg/day for valproic acid. Based on read-across and QSAR, the conservatively predicted NOAEL is 148 mg/kg/day for repeated-dose toxicity, and 100 mg/kg/day for developmental toxicity. Exptl. values are 341 mg/kg/day and 100 mg/kg/day, resp. The present approach appears promising for qual. and quant. in silico systemic toxicity prediction of untested chems.
Journal of Toxicological Sciences published new progress about 3115-28-4. 3115-28-4 belongs to catalysis-chemistry, auxiliary class Aliphatic Chain, name is 2-Butylhexanoic acid, and the molecular formula is C10H20O2, Recommanded Product: 2-Butylhexanoic acid.
Referemce:
https://courses.lumenlearning.com/boundless-chemistry/chapter/catalysis/,
Catalysis – Wikipedia