基于网络药理学探讨附子-细辛对高血压病的作用机制          下载免费PDF全文

杨钦  毛以林 《应用海洋学学报》2021,37(6):149

目的：基于网络药理学研究附子-细辛对高血压病的作用机制。方法：运用TCMSP数据库挖掘出附子-细辛的有效成分及药物预测靶点,采用5个生物信息数据库检索出高血压病的疾病预测靶标,构建药物靶点-疾病靶标交集,使用Cytoscape生物信息分析软件绘制“成分-靶点-疾病”中药调控网络,基于STRING数据库构建“药物-疾病”相关靶点的蛋白互作网络（PPI）,并对其进行GO和KEGG的生物信息学分析。结果：通过生物利用度和类药性筛选得到附子-细辛的有效成分29个,对应药物靶点1807个,高血压病的疾病靶标8505个,构建的药物靶点-疾病靶标交集80个。与高血压病密切相关的GO富集条目91个,KEGG信号通路123条,主要涉及流体剪切应力与动脉粥样硬化、糖尿病并发症中的AGE-RAGE信号通路、白细胞介素（IL）-17信号通路、丝裂原活化蛋白激酶（MAPK）信号通路、PI3K-Akt信号通路等。结论：附子-细辛药对与高血压病密切相关,能够通过一条或多条通路协同发挥药效作用,考虑其可能是通过干预血液的流体剪切应力影响动脉粥样硬化与心血管重塑再生而实现的。  相似文献   

基于网络药理学和分子对接探讨左金丸治疗肝癌的作用机制          下载免费PDF全文

雷彩云  刘人杰  田立峰 《应用海洋学学报》2021,37(11):178

目的：运用网络药理学和分子对接方法探讨左金丸治疗肝癌的作用机制。方法：从TCMSP和BATMAN-TCM数据库获取左金丸的化合物及其相应靶点,检索GeneCards、OMIM和TTD 3个数据库获得肝癌的相关靶基因,取两者靶基因交集得到左金丸治疗肝癌的预测靶基因;运用Cytoscape 3.7.1软件构建左金丸-化合物-靶点-肝癌和PPI网络图;运用R软件对预测靶基因进行GO和KEGG富集分析;最后运用分子对接技术对关键化合物和靶点进行验证。结果：共获取左金丸35个化合物及173个相应靶点,左金丸与肝癌的共同靶点有103个。PPI结果表明AKT1、MAPK1、TP53、JUN和RELA可能为左金丸治疗肝癌的关键靶点。富集分析示左金丸可能通过乙型肝炎、卡波西肉瘤相关疱疹病毒感染、人巨细胞病毒感染、丙型肝炎、MAPK信号通路、肝癌等信号通路抗肝癌。分子对接结果示槲皮素和黄连素均能与AKT1和MAPK1稳定结合。结论：本研究初步揭示了左金丸通过多成分、多靶点、多通路治疗肝癌的作用机制,为后续左金丸治疗肝癌提供理论参考。  相似文献   

基于网络药理学-分子对接探索大黄牡丹汤治疗大肠癌的作用机制          下载免费PDF全文

梁子成  文璐  陈泓秀 《应用海洋学学报》2021,37(10):177

目的：利用网络药理学-分子对接技术探索经方大黄牡丹汤治疗大肠癌的作用机制。方法：通过TCMSP、TCMID数据库获得大黄牡丹汤药物成分,通过PubChem、Swisstarget prediction数据库获得药物成分对应靶点,分析GSE113513芯片获得差异基因,随即获取大黄牡丹汤与大肠癌的共同靶点。利用R、Cytoscape、Autodock软件进行PPI、GO、KEGG、分子对接等分析。结果：获得大黄牡丹汤靶点561个,大肠癌差异基因1227个,共同靶点71个。共同靶点的通路富集分析显示主要与PPAR、p53等信号通路相关,Reactome机制分析显示大黄牡丹汤治疗大肠癌主要通过影响信号转导、免疫系统、疾病等产生作用,分子对接结果显示大肠癌核心靶点与大黄牡丹汤主要成分亲和力较好,能够有效自由结合。结论：经方大黄牡丹汤可通过多层次、多途径、多靶点发挥对大肠癌的治疗作用。  相似文献   

1976-2016年青藏高原地区通达性空间格局演变   总被引：1，自引：0，他引：1  

高兴川  曹小曙  李涛  吕敏娟 《地理学报》2019,74(6):1190-1204

青藏高原地区是地球上最独特的地理—生态—人口—交通单元,区域内交通网络的发展特征及规律是人地关系协同发展的一个重要切入点,对青藏高原地区交通网络开展研究具有重要意义。据此,分析1976-2016年青藏高原地区交通网络演化特征,并以省会、地级市、县级市和县城为节点,采用网络分析的时间距离计算模型探讨其通达性演变过程。研究表明：① 青藏高原地区交通网络复杂性、区域连通性增强,初步形成格状交通网络;② 青藏高原地区中心城市、县城之间的平均最短通达时间已极大缩短至11.89 h、18.84 h,呈自东向西逐渐增大的空间格局,时空收敛效应显著,通达性变化程度与其初始值有关;③ 中心城市为该地区的发展极,其与周围城市通达状况有极大提高,可达时间平均值下降到16.49 h;④ 中心城市和县城交通圈演变过程一致,青藏高原地区各地到最近城市、县城的通达时间不断缩小,沿重要交通干线已形成中心城市4 h、县城2 h短时交通圈连片分布格局,湟水河谷地、一江两河地区逐渐形成交通廊道,乡镇对外交通联系得到改善。  相似文献   

The information system of the French Peatland Observation Service: Service National d'Observation Tourbières – A valuable tool to assess the impact of global changes on the hydrology and biogeochemistry of temperate peatlands through long term monitoring     

Sébastien Gogo  Jean-Baptiste Paroissien  Fatima Laggoun-Défarge  Jean-Marc Antoine  Léonard Bernard-Jannin  Guillaume Bertrand  Philippe Binet  Stéphane Binet  Guillaume Bouger  Yohann Brossard  Thierry Camboulive  Jean-Pierre Caudal  Stéphane Chevrier  Geneviève Chiapiuso  Benoît D'Angelo  Pilar Durantez  Chris Flechard  André-Jean Francez  Didier Galop  Laure Gandois  Daniel Gilbert  Christophe Guimbaud  Louis Hinault  Adrien Jacotot  Franck Le Moing  Emilie Lerigoleur  Gaël Le Roux  Fabien Leroy  Alexandre Lhosmot  Qian Li  Elodie Machado Da Silva  Jean-Sébastien Moquet  Juanita Mora-Gomez  Laurent Perdereau  Thomas Rosset  Marie-Laure Toussaint 《水文研究》2021,35(6):e14244

Mitigating and adapting to global changes requires a better understanding of the response of the Biosphere to these environmental variations. Human disturbances and their effects act in the long term (decades to centuries) and consequently, a similar time frame is needed to fully understand the hydrological and biogeochemical functioning of a natural system. To this end, the ‘Centre National de la Recherche Scientifique’ (CNRS) promotes and certifies long-term monitoring tools called national observation services or ‘Service National d'Observation’ (SNO) in a large range of hydrological and biogeochemical systems (e.g., cryosphere, catchments, aquifers). The SNO investigating peatlands, the SNO ‘Tourbières’, was certified in 2011 ( https://www.sno-tourbieres.cnrs.fr/ ). Peatlands are mostly found in the high latitudes of the northern hemisphere and French peatlands are located in the southern part of this area. Thus, they are located in environmental conditions that will occur in northern peatlands in coming decades or centuries and can be considered as sentinels. The SNO Tourbières is composed of four peatlands: La Guette (lowland central France), Landemarais (lowland oceanic western France), Frasne (upland continental eastern France) and Bernadouze (upland southern France). Thirty target variables are monitored to study the hydrological and biogeochemical functioning of the sites. They are grouped into four datasets: hydrology, fluvial export of organic matter, greenhouse gas fluxes and meteorology/soil physics. The data from all sites follow a common processing chain from the sensors to the public repository. The raw data are stored on an FTP server. After operator or automatic processing, data are stored in a database, from which a web application extracts the data to make them available ( https://data-snot.cnrs.fr/data-access/ ). Each year at least, an archive of each dataset is stored in Zenodo, with a digital object identifier (DOI) attribution ( https://zenodo.org/communities/sno_tourbieres_data/ ).  相似文献   

基于条件平差的卫星双向时间传递链路性能优化方法          下载免费PDF全文

王翔  宋会杰  王威雄  高喆  张继海  武文俊  董绍武 《天文学报》2020,61(3):25

卫星双向时间传递(Two-Way Satellite Time and Frequency Transfer, TWSTFT)是目前精度最高的时间传递方法之一,同时也是参与国际原子时计算的守时实验室之间比较原子时尺度的一种主要方法.提高TWSTFT链路的短期稳定度,降低周日效应对链路时间传递结果的影响,对优化TAI (International Atomic Time)的性能具有现实意义.提出了一种基于条件平差的TWSTFT链路性能优化方法,先依据TWSTFT链路测量噪声水平与谱分析结果建立TWSTFT链路性能优化网络(简称优化网络),再根据优化网络中各链路测量噪声分析结果设置权系数阵,建立条件平差模型.选取亚太地区的中国计量科学研究院(National Institute of Metrology, NIM)-中国科学院国家授时中心(National Time Service Center, NTSC)卫星双向时间传递链路作为待优化链路,以NTSC、NIM以及德国联邦物理技术研究所(Physikalisch-Technische Bundesanstalt,PTB)之间的TWSTFT链路组成优化网络,对优化网络的组网方法和条件平差模型进行实验验证.结果表明,平差后待优化链路短期稳定度得到了改善,同时其受周日效应的影响降低了约24.6%.使用该方法,能够有效提高待优化链路的时间传递性能.  相似文献   

Describing alpine lake influence on stream network temperatures: A statistical modelling approach     

Samuel P. Carlson  Geoffrey C. Poole 《水文研究》2021,35(3):e14072

Systematic variations in atmospheric heat exchange, surface residence time, and groundwater influx across montane stream networks commonly produce an increasing stream temperature trend with decreasing elevation. However, complex stream temperature profiles that differ from this common longitudinal trend also exist, suggesting that stream temperatures may be influenced by complex interactions among hydrologic and atmospheric processes. Lakes within stream networks form one potential source of temperature profile complexity due to the spatially variable contribution of lake-sourced water to stream flow. We investigated temperature profile complexity in a multi-season stream temperature dataset collected across a montane stream network containing many alpine lakes. This investigation was performed by making comparisons between multiple statistical models that used different combinations of stream and lake characteristics to represent specific hypotheses for the controls on stream temperature. The compared models included a set of models which used a topographically derived estimate of the hydrologic influence of lakes to separate and quantify the effects of stream elevation and lake source-water contributions to longitudinal stream temperature patterns. This source-water mixing model provided a parsimonious explanation for complex stream-network temperature patterns in the summer and autumn, and this approach may be further applicable to other systems where stream temperatures are influenced by multiple water sources. Simpler models that discounted lake effects were more optimal during the winter and spring, suggesting that complex patterns in stream temperature profiles may emerge and subside temporally, across seasons, in response to diversity of water temperatures from different sources.  相似文献   

移动轨迹数据可视化方法总结     

酒心愿  柳林  郭慧 《测绘与空间地理信息》2020,(4):178-181

作为移动社交网络的主体,人们移动带来的位置轨迹不仅记录了人的行为历史,也记录了人与社会的交互活动信息。移动社交网络中位置轨迹数据的分析与利用为解决城市问题提供了一种新的思路。本文概述了轨迹数据可视分析中的几种方法,总结了轨迹数据可视分析研究中存在的问题和面临的挑战。  相似文献   

Detecting regional dominant movement patterns in trajectory data with a convolutional neural network     

Can Yang  Győző Gidófalvi 《International journal of geographical information science》2020,34(5):996-1021

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MARC: a robust method for multiple-aspect trajectory classification via space,time, and semantic embeddings     

Lucas May Petry  Camila Leite Da Silva  Andrea Esuli  Chiara Renso  Vania Bogorny 《International journal of geographical information science》2020,34(7):1428-1450

ABSTRACT

The increasing popularity of Location-Based Social Networks (LBSNs) and the semantic enrichment of mobility data in several contexts in the last years has led to the generation of large volumes of trajectory data. In contrast to GPS-based trajectories, LBSN and context-aware trajectories are more complex data, having several semantic textual dimensions besides space and time, which may reveal interesting mobility patterns. For instance, people may visit different places or perform different activities depending on the weather conditions. These new semantically rich data, known as multiple-aspect trajectories, pose new challenges in trajectory classification, which is the problem that we address in this paper. Existing methods for trajectory classification cannot deal with the complexity of heterogeneous data dimensions or the sequential aspect that characterizes movement. In this paper we propose MARC, an approach based on attribute embedding and Recurrent Neural Networks (RNNs) for classifying multiple-aspect trajectories, that tackles all trajectory properties: space, time, semantics, and sequence. We highlight that MARC exhibits good performance especially when trajectories are described by several textual/categorical attributes. Experiments performed over four publicly available datasets considering the Trajectory-User Linking (TUL) problem show that MARC outperformed all competitors, with respect to accuracy, precision, recall, and F1-score.  相似文献