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.     

Identification of the Angel -related elements in cyprinid fishes and their phylogenetic implications

Angel-related element belongs to the family of miniature inverted-repeat transposable elements (MITEs). In this paper we report the identification of an Angel- related element in the series Leuciscini of cyprinid fishes, which is located in the second intron of the growth hormone (GH) gene. We have also found that this element is absent in orthologous locus in the series Barbini of cyprinid fishes, that provides new evidence for the monophyly of the series Leuciscini. The insertion of Angel -related element into the GH gene might take place in the common ancestor of the series Leuciscini after its divergence from the series Barbini. The high sequence divergence and relatively broad species distribution of Angel-related elements implies that they might be ancient transposons which appeared about 26 million years ago.     

项目教学法在PLC课程中的运用

分析了项目教学法在PLC课程中运用的重要性,探讨了项目教学法在PLC课程中的运用。     

基于手机的无线搜索技术

无线搜索已成为一个新的研究、开发领域.并且它主要用到信息检索、人工智能、数据挖掘、自然语言处理、排序算法等多领域的理论和技术.此外,它拥有大量的用户,有很好的经济价值,所以引起了世界各国计算机科学界和信息产业界的高度关注,目前的研究、开发十分活跃,并出现了很多值得注意的动向.     

空间机构惯性力的完全平衡

本文导出空间开链型机构惯性力完全平衡的充分必要条件,提出相对平衡的概念。论证开链型空间机构中有含移动自由度的运动副时,用重新分布质量法不可能使该机构惯性力完全平衡。本文还提出把闭链型空间机构分解成开链型空间机构,并利用开链型空间机构惯性力完全平衡的方法解决闭链型空间机构惯性力的完全平衡。     

利玛窦与西方数学的传播

利玛窦构建了良好的知识结构,具有很深的数学功底;他注意理论与实际的结合,学以致用,为他到中国传播西方的数学奠定了坚实的基础;他以数学赢取民心支持,在中国不仅传播了欧氏几何,而且还传播了大量非欧几何等数学知识;他一方面激活了正在走向衰落的中国传统数学,开创了中西数学文化融合的新纪元,另一方面他也激励了一大批中国数学家的成长、成才,推动了中国近现代数学的萌芽发展.     

叶绿素衍生物CPD4在人血清中的吸收光谱

研究了不同浓度（１０、５０μｇ／ｍｌ）的叶绿素衍生物４号（ＣＰＤ４）在含１０％不同血清人血清（分Ａ、Ｂ、Ｏ型三种）生理盐水中以及纯蒸馏水中的吸收光谱，并对结果进行了分析和比较，该工作对ＣＰＤ４在ＰＤＴ临床上的应用具有一定的意义。．     

外场与腔场非共振驱动Jaynes－Cummings系统的准能解

本文主要求出了Ｊ－Ｃ系统受与腔场非共振的外场驱动时的准能级及态的近似表达式，设外场与腔模的失谐量△_ｃ远小于耦合常数ｇ，并且腔模光子数较小，在计算中可略去。结果可知，失谐量△_ｃ存在使能级中心位置移动，但对能级分裂量没有影响。相应的光场态为两个位移福克态的叠加。     

半模的诣零根与幂零根

本文引进半模的诣零根与幂零根的概念,证明了半模的诣零根与Noether半模的幂零根都是Kurosh意义下的根性。     

数据流图的存贮模型

本文给出了一个数据流图的存贮模型。并在此基础上，给出了数据流图的操作算法。可以解决ＳＡ方法中的文档管理。