基于PPI协议的注浆参数采集和网络发布系统

为了提高注浆参数监测质量,应用VC技术编制了基于PPI通信协议的注浆参数采集软件,实现了注浆水枪远程监控、注浆参数采集和存储功能;应用ASP.NETAJAX技术和Web服务环境IIS开发实时、动态、无闪烁的Web页面,实现了注浆信息网络发布。     

基于上下文环境和句法分析的蛋白质关系抽取

针对蛋白质交互作用关系(PPI)抽取方法中特征利用的片面性问题,提出了一种从上下文环境和句法结构中抽取特征的方法。该方法抽取词法特征、位置特征、距离特征、依存句法特征和深层句法特征等丰富特征构成特征集,并且使用支持向量机（SVM）分类器进行PPI抽取。方法在5个公开的PPI语料上进行了评估。实验结果表明,丰富特征有效地利用了更为全面的信息,避免丢失重要特征的危险,得到了较好的PPI抽取性能。即在AImed语料上的实验取得了59.2%的F值和85.6%的曲线下面积（AUC）值。     

蛋白质相互作用网络演化模型研究进展

研究蛋白质相互作用网络的演化机制及模型对于理解生物系统的进化及组织形成过程具有重要的意义。到目前为止,已经出现了多种依赖不同演化机制的蛋白质相互作用网络演化模型,这些模型有针对性地体现了真实蛋白质相互作用网络中出现的某些拓扑特征,但同时也具有一定的局限性。通过对典型蛋白质相互作用网络演化模型进行研究,从模型的构建机理、演化模型及真实蛋白质相互作用网络的拓扑特征等方面进行了分析和比较,并总结了各个模型的特点。最后,对蛋白质网络演化模型的进一步发展提出了自己的看法,为深入理解蛋白质相互作用网络演化模型提供有益参考。     

用VC++实现雷达平面位置图像的小波去噪算法

基于小波去噪的基本原理，用VC 构造了小波类。根据雷达PPI特性建立了面目标和背景噪声模型，用Matcom4．5将Matlab中正态函数转换为矩类嵌入VC 中实现去噪仿真．     

基于S7-200 PLC的纸机控制系统通讯设计

系统采用SIEMENS S7-200 PLC，控制纸机的上浆浓度、流量等参数，达到间接控制纸页的定量和水分的目的。通过硬件和软件侦听的方法，分析PLC内部固有的PPI通讯协议，然后上位机采用VB编程，遵循PPI通讯协议，读写PLC数据，实现人机操作任务。这种通讯方法，与一般的自由通讯协议相比，省略了PLC的通讯程序编写，只需编写上位机的通讯程序，节省PLC资源，缩短了系统开发周期。     

ECRH系统总控的研究

本文介绍了ECRH系统总控的设计方案。着重分析了方案特点和具体措施，针对ECRH系统的特殊性，主要介绍了参与控制的信号的处理方法，并简要介绍了总控系统的通讯及PPI通讯协议。调试结果显示，总控系统设计实现了稳定安全与可靠性。     

C9ORF72 Repeat Expansion Affects the Proteome of Primary Skin Fibroblasts in ALS

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by progressive degeneration of the corticospinal motor neurons, which ultimately leads to death. The repeat expansion in chromosome 9 open reading frame 72 (C9ORF72) represents the most common genetic cause of ALS and it is also involved in the pathogenesis of other neurodegenerative disorders. To offer insights into C9ORF72-mediated pathogenesis, we quantitatively analyzed the proteome of patient-derived primary skin fibroblasts from ALS patients carrying the C9ORF72 mutation compared with ALS patients who tested negative for it. Differentially expressed proteins were identified, used to generate a protein-protein interaction network and subjected to a functional enrichment analysis to unveil altered molecular pathways. ALS patients were also compared with patients affected by frontotemporal dementia carrying the C9ORF72 repeat expansion. As a result, we demonstrated that the molecular pathways mainly altered in fibroblasts (e.g., protein homeostasis) mirror the alterations observed in C9ORF72-mutated neurons. Moreover, we highlighted novel molecular pathways (nuclear and mitochondrial transports, vesicle trafficking, mitochondrial bioenergetics, glucose metabolism, ER-phagosome crosstalk and Slit/Robo signaling pathway) which might be further investigated as C9ORF72-specific pathogenetic mechanisms. Data are available via ProteomeXchange with the identifier PXD023866.     

无缆式城市排水管道清淤机器人的通讯设计

根据无缆式排水管道清淤机器人的控制要求,其控制系统采用了3个S7-200 PLC,机器人内部的两个PLC之间利用PPI协议实现通讯,而地面PLC与机器人内部PLC之间则通过无线通讯完成数据传递.实践证明,该设计策略很好地解决了管道清淤机器人与地面操作人员之间的信息交互问题.     

Quantitative Estimate Index for Early-Stage Screening of Compounds Targeting Protein-Protein Interactions

Drug-likeness quantification is useful for screening drug candidates. Quantitative estimates of drug-likeness (QED) are commonly used to assess quantitative drug efficacy but are not suitable for screening compounds targeting protein-protein interactions (PPIs), which have recently gained attention. Therefore, we developed a quantitative estimate index for compounds targeting PPIs (QEPPI), specifically for early-stage screening of PPI-targeting compounds. QEPPI is an extension of the QED method for PPI-targeting drugs that models physicochemical properties based on the information available for drugs/compounds, specifically those reported to act on PPIs. FDA-approved drugs and compounds in iPPI-DB, which comprise PPI inhibitors and stabilizers, were evaluated using QEPPI. The results showed that QEPPI is more suitable than QED for early screening of PPI-targeting compounds. QEPPI was also considered an extended concept of the “Rule-of-Four” (RO4), a PPI inhibitor index. We evaluated the discriminatory performance of QEPPI and RO4 for datasets of PPI-target compounds and FDA-approved drugs using F-score and other indices. The F-scores of RO4 and QEPPI were 0.451 and 0.501, respectively. QEPPI showed better performance and enabled quantification of drug-likeness for early-stage PPI drug discovery. Hence, it can be used as an initial filter to efficiently screen PPI-targeting compounds.