丹参活性成分靶点分子网络的生物信息学预测

目的:采用整合生物信息学方法预测丹参治疗心血管疾病的潜在机制。方法:从PubChem数据库中搜索丹参靶标蛋白,从NCBI数据库中搜索心血管疾病相关基因,利用IPA比较、分析搜索结果,预测丹参治疗心血管疾病的交互作用分子网络。结果:丹参治疗心血管疾病的靶标蛋白主要有FASN、 PAFAH1B2、PLA2G7、PAFAH1B3和IL-1β,这些蛋白主要涉及LXR/RXR活化、动脉粥样硬化、肝纤维化/肝星形细胞活化、急性反应期信号、FXR/RXR活化等信号传导通路;交互作用分子网络主要涉及细胞运动、免疫细胞运输、血液系统发育,参与DNA的复制、重组和修复等。结论:预测了丹参治疗心血管疾病的几个蛋白质靶点以及参与的信号途径;整合生物信息学方法可以用于分析小分子化学成分的作用机制

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies