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Here, we report suvanine, a marine sponge sesterterpene, as an antagonist of the mammalian bile acid sensor farnesoid-X-receptor (FXR). Using suvanine as a template, we shed light on the molecular ...
One frequent cause of agranulocytosis is prescription and use of over-the-counter drugs. The main drugs associated with agranulocytosis have been antithyroid drugs, sulfasalazine, ...
The inclusion of hydrocortisone, progesterone, and testosterone into the cavity of β-cyclodextrin (β-CD) following two possible orientations was investigated using molecular dynamics simulations and ...
The molecular methodologies developed in recent years, together with enormously accelerated genome sequencing capabilities, are facilitating rapid increases in our analyses and understanding of the ...
Several nongenetic factors may influence lipoprotein (a) levels, including hormone therapy and kidney disease. 75, 76, 77 Treatment of overt hyperthyroidism with thyroidectomy, antithyroid drugs, or ...
Mechanisms Related to the Pathophysiology and Management of Central Hypothyroidism Masanobu Yamada; Masatomo Mori Disclosures Nat Clin Pract Endocrinol Metab. 2008;4 (12):683-694.
Excessive amounts of antithyroid drug have induced fetal hypothyroidism and goiter. Fetal goiter has been diagnosed by ultrasonography. In a few cases, hypothyroidism has been confirmed by ...
New research has uncovered immune changes in cancer patients that could help identify which patients are most at risk of dangerous heart complications from cancer drugs, known as immune checkpoint ...
This study aims to determine which anti-glioma medication presents the lowest risk for personalized use in clinical patients by assessing the adverse drug reactions (ADRs) associated with these ...
This study presents valuable findings with practical and theoretical implications for drug discovery, particularly in the context of repurposing cipargamin CIP for the treatment of Babesia spp. The ...
Development of new medications is a lengthy and costly process, and drug repositioning might help to shorten the development cycle. We present a machine learning (ML) workflow to drug discovery or ...
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