Expression and test of the neutralization Fab antibody against infectious bursal disease virus

为表达抗鸡传染性法氏囊病病毒(IbdV)抗体fAb并检测其中和活性,本研究将抗IbdV抗体的轻链(l)和重链片段(fd)基因分别克隆于P ET-27b(+)载体中,并转化于大肠杆菌rOSETTA(dE3)进行诱导表达。将l和fd片段包涵体蛋白变性后等量混合于复性液中,制备fAb并对其进行活性鉴定。结果显示l和fd蛋白相对分子质量大小分别为25 ku和28 ku。WESTErn blOT和ElISA检测结果表明,获得的抗体fAb大小约为50 ku,并且与VP2蛋白和不同病毒株均具有特异性结合能力。体外中和试验结果表明,获得的IbdV抗体fAb具有中和活性,可以有效阻断IbdV(b87株)对鸡胚成纤维细胞(df1)的感染。本实验获得的IbdV抗体fAb有望成为治疗Ibd的候选生物制剂,为研制治疗Ibd抗体制剂奠定了基础。To express the neutralizing Fab antibody against infectious bursal disease virus(IBDV),the gene of light chain(L)or heavy chain fragment(Fd) against IBDV was cloned into the prokaryotic expression plasmid,respectively,and then the recombinant L or Fd was expressed in E.coli Rosetta(DE3),respectively,and purified through sole denaturation and co-renaturation of inclusion body.Western blot results showed that the Fab was approximately 50 ku.ELISA results showed that the Fab exhibited binding ability and specify to VP2 for different IBDV strains.The results of neutralization test in vitro showed that the Fab exhibited neutralizing activity to IBDV-B87 strainin chicken embryo fibroblast(DF1) cells.The Fab antibody prepared in this study is expected to become a candidate drug for treatment of IBD,which laid the foundation for the treatment of IBD.黑龙江省应用技术研究与开发计划项目(GC13C104

DESIGNING FINE GRAINED STRENGTHENING MECHANISM FOR ANDROID WITH SPATIAL CONTEXT INFORMATION

Android操作系统广泛应用于手机等移动设备，但并未根据移动设备的空间移动特性加入有针对性的访问控制，从而带来安全隐患。通过对现有Android权限模型的形式化分析，证明其无法针对空间位置信息进行有效的访问控制。给出一种将空间访问控制集成至Android权限模型的实现方法，并给出其有效性的形式化证明。经过实验分析发现该方法能够有效地根据空间位置信息对系统中的敏感操作做出保护，同时并不影响系统的可用性。 Android operating system is widely used in mobile phones and other mobile devices,but the targeted access control according to spatial mobile characteristic of mobile devices has not been taken into consideration,which brings potential security pitfall.In this paper, with formal analysis on existing Android permission model,we prove that it cannot give effective access control aiming at the spatial location information.We provide an implementation approach for integrating the spatial-aware access control into Android permission model,and give a formal proof of its effectiveness.We find through experimental analyses that the proposed method can effectively protect the sensitive operations in system according to the spatial location information,while not affect the usability of the system.Android operating system is widely used in mobile phones and other mobile devices,but the targeted access control according to spatial mobile characteristic of mobile devices has not been taken into consideration,which brings potential security pitfall. In this paper, with formal analysis on existing Android permission model,we prove that it cannot give effective access control aiming at the spatial location information. We provide an implementation approach for integrating the spatial-aware access control into Android permission model,and give a formal proof of its effectiveness. We find through experimental analyses that the proposed method can effectively protect the sensitive operations in system according to the spatial location information,while not affect the usability of the system

家蝇GABA_A受体萜类抑制剂先导化合物的筛选

用距离比较法(DISCOtech)构建的家蝇GABA_A受体萜类抑制剂药效团模型为基础建立了提问结构,以三维数据库搜索软件3DFS为工具,在三维结构中草药数据库(TCMD)中进行了搜索。对搜索结果使用改进的Linpinsky五原则进行筛选,挑选21个化合物进行CoMFA活性预测,活性预测值较高。结果分析表明,3DFS-类杀虫剂筛选-CoMFA活性预测生物活性方法是一种有效的筛选先导化合物的方法

家蝇GABAA受体萜类抑制剂先导化合物的筛选

用距离比较法（DISCOtech）构建的家蝇GABAA受体萜类抑制剂药效团模型为基础建立了提问结构,以三维数据库搜索软件3DFS为工具,在三维结构中草药数据库（TCMD）中进行了搜索。对搜索结果使用改进的Linpinsky五原则进行筛选,挑选21个化合物进行CoMFA活性预测,活性预测值较高。结果分析表明,3DFS-类杀虫剂筛选-CoMFA活性预测生物活性方法是一种有效的筛选先导化合物的方法

家蝇GABA_A受体萜类抑制剂先导化合物的筛选

用距离比较法（DISCOtech）构建的家蝇GABAA受体萜类抑制剂药效团模型为基础建立了提问结构,以三维数据库搜索软件3DFS为工具,在三维结构中草药数据库（TCMD）中进行了搜索。对搜索结果使用改进的Linpinsky五原则进行筛选,挑选21个化合物进行CoMFA活性预测,活性预测值较高。结果分析表明,3DFS-类杀虫剂筛选-CoMFA活性预测生物活性方法是一种有效的筛选先导化合物的方法

家蝇GABAA受体萜类抑制剂先导化合物的筛选

用距离比较法（DISCOtech）构建的家蝇GABAA受体萜类抑制剂药效团模型为基础建立了提问结构,以三维数据库搜索软件3DFS为工具,在三维结构中草药数据库（TCMD）中进行了搜索。对搜索结果使用改进的Linpinsky五原则进行筛选,挑选21个化合物进行CoMFA活性预测,活性预测值较高。结果分析表明,3DFS-类杀虫剂筛选-CoMFA活性预测生物活性方法是一种有效的筛选先导化合物的方法