Zobrazeno 1 - 10
of 17 621
pro vyhledávání: '"Sun Kim"'
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 1715-1724 (2024)
Multi-gene assays have been widely used to predict the recurrence risk for hormone receptor (HR)-positive breast cancer patients. However, these assays lack explanatory power regarding the underlying mechanisms of the recurrence risk. To address this
Externí odkaz:
https://doaj.org/article/1710448ba511484597734131807696a2
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Recent studies showed that the likelihood of drug approval can be predicted with clinical data and structure information of drug using computational approaches. Predicting the likelihood of drug approval can be innovative and of high impact.
Externí odkaz:
https://doaj.org/article/823e15fa7c1143118a480c4f0ecc316a
Autor:
Sung-Yeon Hwang, Hyewon Kim, Danielle Denisko, Boxun Zhao, Dohoon Lee, Jiseok Jeong, Jinuk Kim, Kiwon Park, Junhyun Park, Dongjoon Jeong, Sehong Park, Hee-Jung Choi, Sun Kim, Eunjung Alice Lee, Kwangseog Ahn
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract Genetic parasites, including viruses and transposons, exploit components from the host for their own replication. However, little is known about virus-transposon interactions within host cells. Here, we discover a strategy where human cytome
Externí odkaz:
https://doaj.org/article/4cb8ca1588cc4128a8050be8b240bfed
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Toll-like receptors (TLRs) are critical components to stimulate immune responses against various infections. Recently, TLR agonists have emerged as a promising way to activate anti-tumor immunity. L-pampo, a TLR1/2 and TLR3 agonist, induces
Externí odkaz:
https://doaj.org/article/347a5e626d0342cb8338fac9679b85cf
Publikováno v:
Frontiers in Genetics, Vol 15 (2024)
Introduction: Drug response prediction, especially in terms of cell viability prediction, is a well-studied research problem with significant implications for personalized medicine. It enables the identification of the most effective drugs based on i
Externí odkaz:
https://doaj.org/article/55a1a3f3af7848f2af418fd08d7084c3
Autor:
Hyundong Yoon, Dohoon Lee, Seulki Song, Bonil Koo, Jihyun Park, Tae Kon Kim, Sun Kim, Sheehyun Kim, Junshik Hong, Ja Min Byun, Dong‐Yeop Shin, Inho Kim, Youngil Koh, Sung‐Soo Yoon
Publikováno v:
Cancer Medicine, Vol 13, Iss 18, Pp n/a-n/a (2024)
Abstract Background Lysosomal dysfunction (LD) impacts cytokine regulation, inflammation, and immune responses, influencing the development and progression of cancer. Inflammation is implicated in the pathogenesis of myeloproliferative neoplasm (MPN)
Externí odkaz:
https://doaj.org/article/ef743f566c3847958966a4db604dfb3b
Autor:
Jiwon Koh, Dabin Jeong, Soo Young Park, Dohyun Han, Da Sol Kim, Ha Yeon Kim, Hyeyoon Kim, Sohyeon Yang, Sun Kim, Han Suk Ryu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Distant metastasis is the leading cause of death in breast cancer (BC). The timing of distant metastasis differs according to subtypes of BCs and there is a need for identification of biomarkers for the prediction of early and late metastasi
Externí odkaz:
https://doaj.org/article/62fc1effe21c4bf8904a791e5def86f7
Autor:
Hyeonseong Jeon, Junhak Ahn, Byunggook Na, Soona Hong, Lee Sael, Sun Kim, Sungroh Yoon, Daehyun Baek
Publikováno v:
Experimental and Molecular Medicine, Vol 55, Iss 8, Pp 1734-1742 (2023)
Abstract The detection of somatic DNA variants in tumor samples with low tumor purity or sequencing depth remains a daunting challenge despite numerous attempts to address this problem. In this study, we constructed a substantially extended set of ac
Externí odkaz:
https://doaj.org/article/dd14fe5a9ca84370b1063435e5491f1e
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-17 (2023)
Abstract Computational drug repurposing aims to identify new indications for existing drugs by utilizing high-throughput data, often in the form of biomedical knowledge graphs. However, learning on biomedical knowledge graphs can be challenging due t
Externí odkaz:
https://doaj.org/article/1abec1ca314f44268adec2611536e219
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract To respond to the external environmental changes for survival, bacteria regulates expression of a number of genes including transcription factors (TFs). To characterize complex biological phenomena, a biological system-level approach is nece
Externí odkaz:
https://doaj.org/article/4095fc0083b147e482e59f1e5f63bc18