Cloning, construction of prokaryotic expression vector and expression ofEscherichia coli cytosine deaminase gene

Cytosine deaminase gene ofEscherichia coli strain H-30 was cloned, and its initiation codon of ‘GTG’ was mutated to ‘ATG’ by PCR. Prokaryotic recombinant expression vector pBV220-CD was constructed. Clone with high enzyme activity were selected by detecting their specific activity of cytosine deaminase. 5-FC(5-FC, 5-fluorocytosine) could induce the lethal toxicity to cells containing active CD gene. DNA sequence analysis indicated that there were 16 altered bases and 5 of them resulted in the alteration of amino acids in predicted peptide by comparing DNA sequence of the clone H-30-CD-11 with high enzyme activity with CD gene reported in Gene Bank.     

Research advances in gene therapy for Parkinson's disease

During the long period of time when people have been seeking for an effective therapeutic method for PD, the gene therapy has shown greater and greater advantages over other methods. It can be performed mainly in two ways: ex vivo and in vivo. With the former, TH gene as well as some neurotrophic factor genes (such as GDNF, BNDF genes) can be invited to some cell lines or primary cells thus forming engineered cells and then implanting them into brain. While with the latter, viral vectors including HSV-1, Ad, AAV that can be utilized to construct recombinant viruses, or non-virus vectors can be used to delived DNA into brain directly. The present review summarizes the recent research advances in the gene therapy for PD, and it is reasonable for us to predict a notable progress in prevention and treatment for PD in the next decade.     

Construction of High Level Expression Cell Lines of Erythropoietin *

Ｅｒｙｔｈｒｏｐｏｉｅｔｉｎ（ＥＰＯ）ｉｓｏｎｅｏｆｔｈｅｍｏｓｔｉｍｐｏｒｔａｎｔｒｅｇｕｌａｔｏｒｙｆａｃｔｏｒｓｄｕｒｉｎｇｔｈｅｄｅｖｅｌｏｐｍｅｎｔｏｆｍａｍｍａｌｉａｎｅｒｙｔｈｒｏｃｙｔｅ,ａｃｔｉｎｇｍａｉｎｌｙｏｎｔｈｅｅｒｙｔｈｒ...     

利用初等行变换求极大无关组的一些条件

本文讨论利用初等行变换求行向量组的极大线性无关组的方法,澄清一些线性代数教学用书中存在的一种模糊认识,并给出修正后的方法。     

广义块Pick型矩阵和带导数的Nevanlinna-Pick矩阵插值问题

建立了广义块Pick型矩阵和块Toeplitz矩阵之间的一种等价关系,并将其用于求解一类带导数的Nevanlinna-Pick矩阵插值问题     

腺病毒载体介导胸苷激酶基因/ACV对大鼠脑胶质瘤的离体和活体杀伤作用

建立缺陷型重组腺病毒载体介导的胸苷激酶基因治疗系统（Adtk／ACV）,进行离休和活体治疗大鼠C6脑胶质瘤研究．将质粒pAdtk与pJM17共转染腺病毒包装细胞──293细胞,同源重组后制备纯化的Adtk并以PCR证实;Adtk对离休C6细胞的杀伤作用随着Adtk滴度和ACV剂量增加而增强,并有旁观者效应,而未转染C6细胞和AdLacZ转染C6细胞均未被杀伤;扫描电镜下见Adtk／ACV处理的细胞呈明显病理改变;ACV可有效杀伤Adtk／C6细胞．在大鼠脑立体定向仪引导下于右额叶接种2×106个C6细胞,分别于第3,6,8和10天原位注射Adtk,同时腹腔注射ACV（100mg／（kg·d-1））,3d组、6d组、8d组大鼠成活期在90d以上,组织学检查未发现肿瘤细胞．10d组成活期（28．5±4．6）d,而C6未治疗组和AdLacZ／ACV治疗组成活期分别为（1．8±3．1）d和（14．0±2．2）d．本文建立的Adtk／ACV在离体和活体水平对大鼠C6脑胶质瘤有强烈的杀伤作用,效果确实,应用方便,ACV价格便宜,有潜在临床应用价值．     

R^3中一类二次齐次向量场的拓扑结构

讨论了Ｒ３中的二次齐次向量场Ｑ（ｘ）的拓扑结构．当它只有孤立奇点时,利用向量场ＷＱ（ｘ）的相图,得到Ｑ（ｘ）的轨线共有１２种不同的拓扑等价类．     

基于支持向量机的羰基化合物红外光谱研究

设计了一个4层分等级分类系统，通过支持向量机技术对羰基化合物的红外光谱成功地进行了信息分类和提取，并与人工神经网络进行比较，结果表明：支持向量机对羰基类化合物红外光谱分类效果优于人工神经网络；另外详细探讨了表征酰胺类化合物的特征光谱峰片段对识圳伯仲叔酰胺的影响，证明了酰胺的N-H伸缩振动峰对识别伯仲叔酰胺贡献最大，为构建红外光谱智能解析系统提供了定量依据。     

QSAR Studies on the COX-2 Inhibition by 3,4-Diarylcycloxazolones Based on MEDV Descriptor

Selective inhibition of cyclooxygenase-2 (COX-2) might avoid the side effects of current available nonsteroidal antiinflammatory drugs while retaining their therapeutic efficacy. A novel variable selection and modeling method based on prediction is developed to construct the quantitative structure-activity relationships (QSAR) between the molecular electronegativity distance vector (MEDV) based on 13 atomic types and the biological activities of a set of selective cyclooxygenase-2 inhibitory molecules, 3,4-diarylcycloxazolones (DAA) plus indomethacin,naproxen, and celecoxib. Using multiple linear regression, a 5-variable linear model is developed with the calibrated correlation coefficient of 0.9271 and root mean square error of 0.17 in modeling stage and the validated correlation coefficient of 0.9030 and root mean square error of 0.20 in leave-one-out validation step, respectively. To further test the predictive ability of the model, 20 DAA compounds are picked up to construct a training set which is used to build a QSAR model and then the model is employed to predict the biological activities of the balance compounds. The predicted correlation coefficient and root mean square error are 0.9332 and 0.19, respectively.     

Autoignition temperature: comprehensive data analysis and predictive models

ABSTRACT

Here we report a new predictive model for autoignition temperature (AIT), an important physical parameter widely used to assess potential safety hazards of combustible materials. Available structure-AIT data extracted from different sources were critically analysed. Support vector regression (SVR) models on different data subsets were built in order to identify a reliable compound set on which a realistic model could be built. This led to a selection of the dataset containing 875 compounds annotated with AIT values. The thereupon-based SVR model performs reasonably well in cross-validation with the determination coefficient r ² = 0.77 and mean absolute error MAE = 37.8°C. External validation on 20 industrial compounds missing in the training set confirmed its good predictive power (MAE = 28.7°C).