Publications by authors named "J Yuvaniyama"

Background Information: The precise etiology of breast cancer is not completely understood, although women with BRCA1 gene mutations have a significantly increased risk of developing the disease. In addition, sporadic breast cancer is frequently associated with decreased BRCA1 gene expression. Growing evidence of Human papillomaviruses (HPVs) infections in breast tumors has raised the possibility of the involvement of HPVs in the pathogenesis of breast cancer.

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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to spread globally, and scientists around the world are currently studying the virus intensively in order to fight against the on-going pandemic of the virus. To do so, SARS-CoV-2 is typically grown in the lab to generate viral stocks for various kinds of experimental investigations. However, accumulating evidence suggests that such viruses often undergo cell culture adaptation.

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Pyrimethamine (Pyr), a known dihydrofolate reductase (DHFR) inhibitor, has long been used to treat toxoplasmosis caused by (Tg) infection. However, Pyr is effective only at high doses with associated toxicity to patients, calling for safer alternative treatments. In this study, we investigated a series of Pyr analogues, previously developed as DHFR inhibitors of bifunctional DHFR-thymidylate synthase (PfDHFR-TS), for their activity against DHFR-TS (TgDHFR-TS).

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Snakebite envenomation is an important medical problem in numerous parts of the world causing about 2.7 million envenomations and between 81,000 and 138,000 deaths ayear. Antivenoms (AVs) are time proven effective therapeutics for snakebite envenomation.

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The MANORAA platform uses structure-based approaches to provide information on drug design originally derived from mapping tens of thousands of amino acids on a grid. In-depth analyses of the pockets, frequently occurring atoms, influential distances, and active-site boundaries are used for the analysis of active sites. The algorithms derived provide model equations that can predict whether changes in distances, such as contraction or expansion, will result in improved binding affinity.

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