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| http://dx.doi.org/10.1097/CM9.0000000000002749 | DOI Listing |
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Comprehensive benchmarking of computational tools for predicting toxicokinetic and physicochemical properties of chemicals.
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Laboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Ensuring the safety of chemicals for environmental and human health involves assessing physicochemical (PC) and toxicokinetic (TK) properties, which are crucial for absorption, distribution, metabolism, excretion, and toxicity (ADMET). Computational methods play a vital role in predicting these properties, given the current trends in reducing experimental approaches, especially those that involve animal experimentation. In the present manuscript, twelve software tools implementing Quantitative Structure-Activity Relationship (QSAR) models were selected for the prediction of 17 relevant PC and TK properties.
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Department of Neurology, the Second Clinical Medical College, Henan University of Traditional Chinese Medicine, Zhengzhou, China.
Fas has been shown to positively regulate the differentiation of T helper 17 (Th17) cells in mouse models of experimental autoimmune encephalomyelitis (EAE). Fas protein expression is regulated by ubiquitination but has not been further studied. In this study, we investigated the role of the Fas ubiquitin ligase in Th17 cell differentiation and highlighted its potential as a therapeutic target for EAE.
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Chemotherapy is still one of the major approaches in triple-negative breast cancer (TNBC) treatment. The development of new formulations for classic chemotherapeutic drugs remains interests in studies. Camptothecin (CPT) is powerful antitumor agents in TNBC treatment though its clinic applications are limited by its low water solubility and systemic toxicity.
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