Publications by authors named "Y M Kang"

Background: This study was conducted to evaluate whether the in situ right internal thoracic artery (RITA) can be an effective alternative to the left internal thoracic artery (LITA) as a single-inflow source in coronary artery bypass grafting (CABG).

Methods: Between 2006 and 2018, 73 patients underwent CABG with the composite grafting based on the in situ RITA as a single-inflow source (the RITA group). Angiographic patency and clinical outcomes were evaluated.

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Background: A randomized controlled trial was designed to compare 1-year morphologic changes of the no-touch saphenous vein (SV) as a Y-composite graft (composite group) vs an aortocoronary graft (aorta group) in coronary artery bypass grafting. This study evaluated early clinical and angiographic outcomes as a preliminary analysis.

Methods: The primary end point of the trial was the intima-media thickness measured by intravascular ultrasound at 1-year angiographic follow-up.

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Infectious spleen and kidney necrosis virus (ISKNV) is a highly virulent and rapidly transmissible fish virus that poses threats to the aquaculture of a wide variety of freshwater and marine fish. N6-methyladenosine (mA), recognized as a common epigenetic modification of RNA, plays an important regulatory role during viral infection. However, the impact of mA RNA methylation on the pathogenicity of ISKNV remains unexplored.

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Melanoma is an aggressive tumor that is challenging to treat. Talimogene laherparepvec (T-VEC), the first oncolytic virus treatment approved by the US Food and Drug Administration to treat unresectable melanoma, was recently used in recurrent tumors after initial surgery. Our network meta-analysis aimed to compare T-VEC treatment of metastatic melanoma with treatment of granulocyte-macrophage colony-stimulating factor (GM-CSF) and control group.

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Applying artificial intelligence techniques to flexibly model the binding between the ligand and protein has attracted extensive interest in recent years, but their applicability remains improved. In this study, we have developed CarsiDock-Flex, a novel two-step flexible docking paradigm that generates binding poses directly from predicted structures. CarsiDock-Flex consists of an equivariant deep learning-based model termed CarsiInduce to refine ESMFold-predicted protein pockets with the induction of specific ligands and our existing CarsiDock algorithm to redock the ligand into the induced binding pockets.

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