A NEW DESCRIPA NEW DESCRIPTOR OF AMINO ACIDS BASED ON THE THREEDIMENSIONAL VECTOR OF ATOMIC INTERACTION FIELD

QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIP (QSAR) IS A VERY IMPORTANT TOPIC FOR MANY SCIENTIFIC FIELDS AND CAN BE TERMED AS QUANTITATIVE SEQUENCE ACTIVITY MODELS(QSAM)[1] WHEN REFERRED TO THE RESEARCH ON RELATION- SHIPS BETWEEN STRUCTURES AND ACTIVITIES OF BIOLOGICAL MOLECULES, SUCH AS PROTEINS, AND NUCLEIC ACIDS. HOW- EVER, IT IS VERY DIFFICULT TO ESTABLISH A QSAM MODEL,…     

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.     

用N-(3-P)NEM标记毛发角蛋白研究毛发中低硫蛋白和高硫蛋白的状态

本文用一种特异性标记蛋白质巯基的N-(3-P)NEM为荧光探针标记毛发角蛋白,经SDS-PAGE后,通过荧光薄层扫描确定N-(3-P)NEM与含巯基蛋白结合的部位。结果表明,毛发角蛋白中的低硫蛋白分子量在45,000～63,000范围,约占总蛋白量的49.6％～68.2％;高硫蛋白分子量在4,000～20,000范围,约占总蛋白量的18.9％～36.2％。除低硫和高硫蛋白以外,毛发角蛋白中还可能存在一种极低硫蛋白,分子量位于22,000～32,000范围。对人与5种动物的毛发角蛋白组分进行比较,证实人与动物的毛发角蛋白的主要差异在高硫蛋白,不同种属的动物毛发角蛋白中低硫蛋白和高硫蛋白的含量也不相同。作者认为毛发角蛋白中含巯基蛋白的差异可为动物分类学和法医学在进行毛发比较鉴别方面提供新的重要信息。     

Mechanisms of sperm-egg interactions emerging from gene-manipulated animals

Untangling the molecular nature of sperm-egg interactions is fundamental if we are to understand fertilization. These phenomena have been studied for many years using biochemical approaches such as antibodies and ligands that interact with sperm or with eggs and their vestments. However, when homologous genetic recombination techniques were applied, most of the phenotypic factors of the gene-manipulated animals believed “essential” for fertilization were found to be dispensable. Of course, all biological systems contain redundancies and compensatory mechanisms, but as a whole the old model of fertilization clearly requires significant modification. In this review, we use the results of gene manipulation experiments in animals to propose the basis for a new vision. Received 26 January 2007; received after revision 7 March 2007; accepted 17 April 2007     

地基基础-坝体体系动力特性及地震反应分析的有限元与无限元耦合法

编制了有限元及有限元—无限元耦合计算程序，利用其分析了广西源口拱坝在有限域及无限域地基下的动力特性与动力响应，并与常规刚性地基下坝体的动力特性、动力响应进行比较，得出结论：1．弹性地基下拱坝自振频率减小、动位移最大值增大；2．耦合分析法具有较高的精度和显著的经济性，是工程应用中值得推广的一种分析方法。     

用于人机交互的交流式电磁跟踪系统的研究

虚拟现实系统和计算机仿真系统中广泛采用电磁跟踪系统测量用户的头部或手部的位置和姿态来实现人机交互。本文分析了目前已有的直流式电磁跟踪系统的不足，提出了一种采用交流信号作激励源的交流式电磁跟踪系统，研究了该系统的结构，推导了用于提取传感器接收信号的递推数字互相关算法，讨论了算法参数与算法性能的关系。仿真实验证明了算法的有效性及理论分析的正确性。本文的研究成果为实际的交流式电磁跟踪系统的设计提供了理论依据。     

GDM对球类系男生Hb、WBC数及大强度训练后upr的影响

本研究以上海体院球类系６０名男生作为实验对象，将他们随机分为实验组和对照组，两组各３０人．实验组饮用ＧＤＭ饮料，对照组饮用安慰剂．分别测定服用前后Ｈｂ，ＷＢＣ数，并在服用前后进行相同大强度训练后测定尿蛋白含量．结果表明：试验组服用ＧＤＭ四周后Ｈｂ明显升高，ＷＢＣ数量有所提高，而且等大强度运动后尿蛋白净值明显下降；而服用安慰剂组，四周后Ｈｂ及ＷＢＣ数无显著性差异．说明ＧＤＭ有助于球类系男生运动能力的提高，同时能够增强机体免疫能力和抗疲劳抗负荷能力．     

变性剂诱导的多结构域蛋白质变性现象的研究

从蛋白质变性的构象渐变模型出发，分析了多结构域蛋白质变性过程的特点，用吸附动力学方法得到了可描述多个结构域变性的关系表示式，特别对典型双结构域蛋白质变性过程予以较详细的讨论。通过对比理论计算结果与实验观测结果，发现在一定参数条件下两者符合较好，从构象渐变的观点，对双结构域蛋白质变性过程中出现双S形变性曲线的原因做出了解释，同时对变性过程中可能出现的一些情况进行了预测和分析。