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2篇 您的检索式:作者名="Cao Wubing"
    题名 作者 年代 出处 被引量
1Lipopolysaccharide/Toll-like receptor 4 signaling pathway involved Qingdu decoction treating severe liver injury merging with endotoxemia显示文摘OBJECTIVE: To investigate the protective effects and underlying mechanism of Qingdu decoction(QDD) on experimental rats with severe liver injury induced by thioacetamide(TAA).METHODS: A total of 40 Wistar rats were randomly divided into normal group(n = 10) and experimental group(n = 30). Rats were administrated the same content of saline in normal group. The rats inthe experimental group were pretreated with TAA at dose of 12 mg/kg lasting 8 weeks, and from 9th week to 12 th week, with TAA at concentration of 36mg/kg. During the 9th week to 12 th week period,the rats were randomly divided into three subgroups(n = 10 each) simultaneously based on the treatment categories: model group, lactulose(LA,3.5 m L/kg) group and QDD(5.95 g/kg) group, orally once per day respectively. At the 12 th week, the content of serum alanine transaminase(ALT), aspartate transaminase(AST), total bilirubin(TBIL), endotoxin(ET) and tumor necrosis factor α(TNF-α) was detected by automatic biochemical analyzer. The plasma prothrombin time(PT), prothrombin time-international normalized ratio(PTR) and prothrombin time activity(PTA) were measured by automatic coagulation analyzer. The level of lipopolysaccharide(LPS)-binding protein(LBP), cluster differentiation 14(CD14) and Toll-like receptor 4(TLR4) expressions was measured by both western blot(WB) and real-time polymerase chain reaction(real-time PCR).RESULTS: Compared with the model group, hepatic morphology in the QDD group was improved under light microscope and transmission electron microscope; at the same time, the contents of serum ALT, AST, TBIL, ET and TNF-α, and level of LBP, CD14 and TLR4 expressions in liver tissues were significantly decreased compared with the model group(P < 0.05), while PTA in the QDD group was enhanced(P < 0.05).CONCLUSION: QDD has the functional effect on improving the injured liver through inhibiting the LPS/TLR4 signaling pathway thus decreasing the level of the inflammatory medicators.Cao Wubing Du Yuqiong Gao Lianyin Che Niancong Zhang Qiuyun Fu Xiuwen Luo Jiajia Wang Rongbing 2017Journal of Traditional Chinese Medicine2017,37,3:0
2Machine Learning Modeling of Protein-intrinsic Features Predicts Tractability of Targeted Protein Degradation显示文摘Targeted protein degradation(TPD)has rapidly emerged as a therapeutic modality to eliminate previously undruggable proteins by repurposing the cell’s endogenous protein degradation machinery.However,the susceptibility of proteins for targeting by TPD approaches,termed“degradability”,is largely unknown.Here,we developed a machine learning model,model-free analysis of protein degradability(MAPD),to predict degradability from features intrinsic to protein targets.MAPD shows accurate performance in predicting kinases that are degradable by TPD compounds[with an area under the precision–recall curve(AUPRC)of 0.759 and an area under the receiver operating characteristic curve(AUROC)of 0.775]and is likely generalizable to independent non-kinase proteins.We found five features with statistical significance to achieve optimal prediction,with ubiquitination potential being the most predictive.By structural modeling,we found that E2-accessible ubiquitination sites,but not lysine residues in general,are particularly associated with kinase degradability.Finally,we extended MAPD predictions to the entire proteome to find964 disease-causing proteins(including proteins encoded by 278 cancer genes)that may be tractable to TPD drug development.Wubing Zhang Shourya S.Roy Burman Jiaye Chen Katherine A.Donovan Yang Cao Chelsea Shu Boning Zhang Zexian Zeng Shengqing Gu Yi Zhang Dian Li Eric S.Fischer Collin Tokheim X.Shirley Liu 2022Genomics, Proteomics & Bioinformatics2022,20,5:0
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