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Carcinogenic - Springer Nature

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Last Updated: 10 September 2022

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Artificial intelligence uncovers carcinogenic human metabolites

Despite the availability of innate DNA damage responses, certain genomic lesions promote cell migration. Accurate prediction of carcinogens is an ever-challenging task, due to a lack of details about bona fide carcinogens. Metabokiller is highly interpretable and outperforms current best-practice techniques for carcinogenicity prediction with the help of the carcinogenicity diagnosis, according to Conditant. Metabokiller deciphed potential carcinogenic human metabolites. Two Metabokiller-flagged human metabolites, namely 4-nitrocatechol and 3,4-dihydroxyphenylacetic acid, were used in multiple functional assays using Saccharomyces cerevisiae and human cells, resulting in significant synergy between Metabokiller predictions and experimental validations, which showed good synergy between Metabokiller predictions and experimental validations.

Source link: https://doi.org/10.1038/s41589-022-01110-7

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions