Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Jingyu Lee"'
Autor:
Daeahn Cho, Myeong-Sang Yu, Jeongyoon Shin, Jingyu Lee, Yubin Kim, Hoon-Chul Kang, Se Hee Kim, Dokyun Na
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss S2, Pp 1-9 (2024)
Abstract Background Epilepsy, a chronic brain disorder characterized by abnormal brain activity that causes seizures and other symptoms, is typically treated using anti-epileptic drugs (AEDs) as the first-line therapy. However, due to the variations
Externí odkaz:
https://doaj.org/article/46bc8951cf4c4a839acfdfc13e3e88e4
Autor:
Jae Gwang Song, Myeong-Sang Yu, Bomi Lee, Jingyu Lee, Su-Hee Hwang, Dokyun Na, Hyung Wook Kim
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 20, Iss , Pp 1097-1110 (2022)
For a long time, the central nervous system was believed to be the only regulator of cognitive functions. However, accumulating evidence suggests that the composition of the microbiome is strongly associated with brain functions and diseases. Indeed,
Externí odkaz:
https://doaj.org/article/e7b69bb8f1cf40c3a80ca49fbdc547fd
2-D chemical structure image-based in silico model to predict agonist activity for androgen receptor
Publikováno v:
BMC Bioinformatics, Vol 21, Iss S5, Pp 1-8 (2020)
Abstract Background Abnormal activation of human nuclear hormone receptors disrupts endocrine systems and thereby affects human health. There have been machine learning-based models to predict androgen receptor agonist activity. However, the models w
Externí odkaz:
https://doaj.org/article/defe9ac2b32f4097869c46aa67d80035
Publikováno v:
Molecules, Vol 26, Iss 17, p 5187 (2021)
Aptamers are artificial nucleic acid ligands that have been employed in various fundamental studies and applications, such as biological analyses, disease diagnostics, targeted therapeutics, and environmental pollutant detection. This review focuses
Externí odkaz:
https://doaj.org/article/070d4f8b014249db846b7c5dd528c529
Publikováno v:
Current Bioinformatics. 17:296-303
Background: Drug-induced liver injury (DILI) is a leading cause of drug failure, accounting for nearly 20% of drug withdrawal. Thus, there has been a great demand for in silico DILI prediction models for successful drug discovery. To date, various mo
Autor:
Evgueni Gorobets, James W. Papatzimas, Jorge Dourado, Goonay Yousefalizadeh, JinGyu Lee, Duncan K. Brownsey, Kevin Stamplecoskie, Rebecca Davis, Darren J. Derksen
Publikováno v:
Chemical Communications. 58:2910-2913
The reactions of bicyclic divinyl ketones display wavelength-dependent changes in product formation. UV irradiation results in the formation of competitive [6,3,5] and [7,3,5] tricyclic unsaturated ketones that subsequently undergo ring expansion and
Autor:
Joo Seong Jeong, Jingyu Lee, Donghyun Kim, Changmin Jeon, Changjin Jeong, Youngki Lee, Byung-Gon Chun
Publikováno v:
Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services.
Publikováno v:
Environmental Chemistry Letters. 19:2981-2993
Gas therapy appears promising in treating cancer, ischemia-reperfusion injury, heart attack, and acute situations of shock. Gas therapy is also becoming a good choice in preventive medicine against dementia, reducing cancer occurrence, cardiovascular
Autor:
Haitao Xiang, Le Zhang, Fanyu Bu, Xiangyu Guan, Lei Chen, Haibo Zhang, Yuntong Zhao, Huanyi Chen, Weicong Zhang, Yijian Li, Leo Jingyu Lee, Zhanlong Mei, Yuan Rao, Ying Gu, Yong Hou, Feng Mu, Xuan Dong
Publikováno v:
Cancers; Volume 14; Issue 12; Pages: 3016
Tumor-specific antigens can activate T cell-based antitumor immune responses and are ideal targets for cancer immunotherapy. However, their identification is still challenging. Although mass spectrometry can directly identify human leukocyte antigen
Publikováno v:
Artificial intelligence in medicine. 113
Accurate image segmentation of the liver is a challenging problem owing to its large shape variability and unclear boundaries. Although the applications of fully convolutional neural networks (CNNs) have shown groundbreaking results, limited studies