- The Nedd8-activating enzyme inhibitor MLN4924 suppresses colon cancer cell growth via triggering autophagy
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Lv Y, Li B, Han K, Xiao Y, Yu X, Ma Y, Jiao Z, Gao J
- KMID: 2430084
- Korean J Physiol Pharmacol.
- 2018 Nov;22(6):617-625.
- doi: 10.4196/kjpp.2018.22.6.617
Neddylation is a post-translational protein modification process. MLN4924 is a newly discovered pharmaceutical neddylation inhibitor that suppresses cancer growth with several cancer types. In our study, we first investigated the... -
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- Global Research Trends of Exosomes in the Central Nervous System: A Bibliometric and Visualized Analysis
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Zhuo Y, Ai K, He K, Wu B, Peng J, Xiang J, Zhang G, Jiao Z, Zhou R, Zhang H
- KMID: 2543550
- Neurospine.
- 2023 Jun;20(2):507-524.
- doi: 10.14245/ns.2244988.494
Objective: Exosomes in the central nervous system (CNS) have become an attractive area of research with great value. However, few bibliometric analysis has been conducted. The study aimed to visualize... -
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- Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data
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Purkayastha S, Xiao Y, Jiao Z, Thepumnoeysuk R, Halsey K, Wu J, Tran TML, Hsieh B, Choi JW, Wang D, Vallières M, Wang R, Collins S, Feng X, Feldman M, Zhang PJ, Atalay M, Sebro R, Yang L, Fan Y, Liao Wh, Bai HX
- KMID: 2518657
- Korean J Radiol.
- 2021 Jul;22(7):1213-1224.
- doi: 10.3348/kjr.2020.1104
Objective: To develop a machine learning (ML) pipeline based on radiomics to predict Coronavirus Disease 2019 (COVID-19) severity and the future deterioration to critical illness using CT and clinical variables. Materials... -
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