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.     

一种新的基于Kohonen网络的图像矢量量化

矢量量化是一种重要的数据压缩方法.本文利用Kohonen自组织映射神经网络进行矢量量化,首次较为详细地讨论了具体实现的步骤与细节,并在此基础上为改善边缘质量,提出一种基于Laplas算子检测边缘弓引导神经网络训练的方法,并通过实验证明其效果是明显的.     

复合氧化物晶体晶格能的近似计算

本文以 Born-Harb 循环为依据,推导了复合晶体晶格能和与其相应的各二元化合物晶体晶格能之间的关系,并由此给出了复合氧化物晶体晶格能近似计算的新公式。对20种复合氧化物晶体晶格能计算结果的分析表明:用本文所给公式对复合氧化物晶体晶格能进行近似计算是可行的。     

鱼腥藻毒素合成中间体的不对称合成

报道(一)-AnTx-a关键中间体的四步合成新途径,设计一个新型(一)-AnTx-a类似物并以同法合成其中间体,本法是对以Mannich反应为基础的AnTX-a的合成策略的补充。     

边界拟合坐标系中的流动方程

本文提出了流体力学解析边界拟合坐标系方法，及建立在这种坐标系基础上对流动方程进行摄动处理的方法，并列举几种流动建立了解析边界拟合坐标系中的方程。     

E-n-伪矩形性拟正则半群

本文是在[1]的基础上,将半群s的幂等元集E(S)由埋想推广为n-伪理想,然后来给出S的结构。本文未用到格林关系,因而证明有别于[1],而且[1]是我们的特例。     

Cu基形状记忆合金中析出相的研究

本文利用 X 射线衍射分析、透射电镜等技术,研究了几种热处理制度下 Cu—27.84 Al—3.82 Ni(at%)合金中析出相;用会聚束(CBED)技术测定了析出相与马氏体的取向关系。结果表明:分级处理试样中析出相 r_2是复杂立方结构,晶格参数 a=0.87nm;大量弥散的折出相引起共格应变场,从而使分极处理试样 X 射线衍射峰型宽化;r_2与2H 马氏体的取向关系为;[00]2H‖[001]_r_2,(10)_(2H)‖(300)_r_2。     

正交拉丁矩阵的上下界

引进了一般形式的拉丁矩阵,并讨论了相互正交的拉丁矩阵个数的上下界。