Finding finer functions for partially characterized proteins by protein-protein interaction networks

Based on high-throughput data, numerous algorithms have been designed to find functions of novel proteins. However, the effectiveness of such algorithms is currently limited by some fundamental factors, including (1) the low a-priori probability of novel proteins participating in a detailed function; (2) the huge false data present in high-throughput datasets; (3) the incomplete data coverage of functional classes; (4) the abundant but heterogeneous negative samples for training the algorithms; and (5) the lack of detailed functional knowledge for training algorithms. Here, for partially characterized proteins, we suggest an approach to finding their finer functions based on protein interaction sub-networks or gene expression patterns, defined in function-specific subspaces. The proposed approach can lessen the above-mentioned problems by properly defining the prediction range and functionally filtering the noisy data, and thus can efficiently find proteins’ novel functions. For thousands of yeast and human proteins partially characterized, it is able to reliably find their finer functions (e.g., the translational functions) with more than 90% precision. The predicted finer functions are highly valuable both for guiding the follow-up wet-lab validation and for providing the necessary data for training algorithms to learn other proteins.     

基因工程菌株EscherichiacoliC600（pRLK14）的流加培养

在１Ｌ搅拌发酵罐中对含有重组质粒ｐＲＬＫ１４的大肠杆菌进行了培养。结果表明，采用二段培养法，于３４℃增殖细菌，在对数增殖后期升温到４２℃进行诱导，可以高效表达基因产品半乳糖激酶。诱导期，醋酸浓度增长较快，模拟实验表明，控制醋酸浓度可进一步提高半乳糖缴酶产率。     

Resource Search in Unstructured Peer-to-Peer System Based on Multiple-Tree Overlay Structure

We propose a multiple-tree overlay structure for resource discovery in unstructured P2P systems. Peers that have similar interests or hold similar type of resources will be grouped into a tree-like cluster. We exploit the heterogeneity of peers in each cluster by connecting peers with more capacities closer to the root of the tree. The capacity of a peer can be defined in different ways （e.g. higher network bandwidth, larger disk space, more data items of a certain type etc.） according to different needs of users or applications.     

基于改进的模糊核C-均值算法在商业银行客户细分中的应用

随着商业银行信息化进程中数据集中阶段任务的完成,各商业银行将面临如何从大量的数据中提取有价值的信息和知识以提高企业决策质量和市场竞争力,数据挖掘技术的出现使企业“数据变知识”成为可能。文章主要结合商业银行的实际,探讨了核聚类方法在提高银行服务成功率等方面的应用。     

血压指标的聚类分析

利用353人的血压数据,运用2种不同的聚类分析方法对15个血压指标分类并挑选典型指标:一是利用SAS软件包中提供的变量聚类过程(VARCLUS过程)对指标进行裂类聚类分析;一是利用SAS中提供的样品聚类过程(CLUSTER过程)对指标进行系统聚类分析.2种方法得到了相同的结果:15个指标分成了4类,得到4个典型指标:BPR(收缩压与舒张压比值),BPP(收缩压与舒张压乘积),MAPPr(平均动脉压与脉率乘积),BPRPr(BPR与脉率乘积).     

白血病小鼠模型中P53、C-myc基因表达的变化研究

探讨DNA、RNA病毒诱导小鼠发生白血病的机制。用单纯疱疹病毒Ⅱ型（HSV－2）和C型RNA病毒诱导70只昆明小鼠，光学显微镜检测HSV－2、C型病毒诱导发生白血病的成功率。正常对照组为30只昆明小鼠。免疫组化法检测HSV－2、C型病毒致瘤后P^53、G－myc基因表达的变化。70只昆明小鼠中有47只发生白血病，成功率为67．1％。47只白血病小鼠P^53、C－myc蛋白阳性表达率均比正常对照组高（P＜0．05）；23只未形成白血病的实验组小鼠P^53、C－myc蛋白阳笥表达率均与正常对照组无显差异（P＞0．05）。HSV－2、C型病毒可以通过调节P^53、C－myc基因的表达从而诱导小鼠白血病的发生。     

上海郊区居民和台湾高山族的体质比较

收集了上海郊区13个具有明显方言差异人群的头面部数据4项，和台湾高山族10个群体的参数进行聚类分析，发现上海郊区居民中的南方土著人群与台湾高山的遗传关系较近。     

苏云金芽孢杆菌cry1基因的PCR-RFLP鉴定分析

利用PCR—RFLP技术对含有已知cry1基因的8株标准菌株和2株遗传工程菌进行了基因分析，证实了该方法的可行性．并在此基础上鉴定了分离保藏的70株B．t菌株的cry1型基因，结合SDS—PAGE分析以及室内生物测定结果，讨论了基因型与蛋白表达及毒力之间的关系．     

在胎儿发育过程中人MK基因的组织差异性表达

MK是肝素结合因子家族中的一个成员，用RT－PCR研究了第11－16周胎儿龄的胎儿的神经组织与非神经组织中MK基因的组织差异性表达，随着胎儿龄的增加，在神经组织中，MK呈现出规律性的从无互有和从低表达到高表达的趋势，提示它可能在胎儿脑的发育中起着重要的作用，在其他非神经组织中，尽管各组织中MK的表达呈现不同的规律，但看起来总的趋势是趋向活跃。