Zhao, Piaopiao; Peng, Yayuan; Xu, Xuan; Wang, Zhiyuan; Wu, Zengrui; Li, Weihua; Tang, Yun; Liu, Guixia published an article in 2021. The article was titled 《In silico prediction of mitochondrial toxicity of chemicals using machine learning methods》, and you may find the article in Journal of Applied Toxicology.HPLC of Formula: 100-83-4 The information in the text is summarized as follows:
Mitochondria are important organelles in human cells, providing more than 95% of the energy. However, some drugs and environmental chems. could induce mitochondrial dysfunction, which might cause complex diseases and even worsen the condition of patients with mitochondrial damage. Some drugs have been withdrawn from the market due to their severe mitochondrial toxicity, such as troglitazone. Therefore, there is an urgent need to develop models that could accurately predict the mitochondrial toxicity of chems. In this paper, suitable data were obtained from literature and databases first. Then nine types of fingerprints were used to characterize these compounds Finally, different algorithms were used to build models. Meanwhile, the applicability domain of the prediction models was defined. We have also explored the structural alerts of mitochondrial toxicity, which would be helpful for medicinal chemists to better predict mitochondrial toxicity and further optimize lead compounds The experimental part of the paper was very detailed, including the reaction process of 3-Hydroxybenzaldehyde(cas: 100-83-4HPLC of Formula: 100-83-4)
3-Hydroxybenzaldehyde(cas: 100-83-4) is used as an ionophore, during the development of an highly selective and sensitive PVC membrane sensor, which can be used as a Tb3+ ion selective electrode.HPLC of Formula: 100-83-4
Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts