Aisaki, Ken-ichi published the artcilePercellome project: research on molecular mechanisms of toxicological responses based on transcriptomics and epigenetics, Related Products of chlorides-buliding-blocks, the publication is Nippon Yakurigaku Zasshi (2022), 157(3), 200-206, database is CAplus and MEDLINE.
The author are constructing the “Percellome Database” containing many transcriptomes of mice exposed to a series of chems. to elucidate the mol. mechanism of toxicity and to develop toxicity prediction technol. Acute toxicity of a chem. can be predicted to a certain extent by searching the similarity of the transcriptomes obtained by the single-dose exposure experiments In addition, the author are analyzing the relation between the transcriptome and the epigenome i.e. histone modification and genomic DNA methylation to understand the mol. mechanism of the repeated dose toxicity. The author are attempting to expand the scale and improve the efficiency of the anal. by introducing artificial intelligence technologies. This approach should maximize the use of toxicogenomics technol. for optimizing the exptl. protocols for repeated dose toxicity studies towards 3Rs principle, and optimizing the process of in silico toxicity prediction by combining the available big data.
Nippon Yakurigaku Zasshi published new progress about 637-07-0. 637-07-0 belongs to chlorides-buliding-blocks, auxiliary class Inhibitor,Cell Cycle,PPAR, name is Ethyl 2-(4-chlorophenoxy)-2-methylpropanoate, and the molecular formula is C12H15ClO3, Related Products of chlorides-buliding-blocks.
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https://en.wikipedia.org/wiki/Chloride,
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