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.     

奇异积分算子对p幂可积函数的逼近常数的上界估计

本文探讨由正偶核确定的奇异积分算子对连续函数的逼近常数与对p幂可积函数的逼近常数之间的关系,并由此得到Fejér算子、Jackson算子和Vallee-Poussin算子对p幂可积函数逼近常数的上界。     

亚纯函数与其导数的公共Julia方向

本文研究不指定级的亚纯函数与其导函数的公共Julia方向的存在性问题。     

一类对称的Kolmogorov系统的定性研究（Ⅰ）

本文对一类对称的三次微分系统进行探讨，对每个奇点导出表示其鞍结性的型号公式。给出（Ｋ３）所有的六种全局相图。     

特征结构提取的高阶Hopfield神经网络实现

本文首先建立了特征结构提取问题的罚函数表示，通过对罚函数求极小可以求得原始协方差矩阵的主特征向量及其对应的特征值。为了求得其他特征结构，特构造了一个协方差矩阵序列。如果将罚函数展开并进行整理，高阶Ｈｏｐｆｉｅｌｄ神经网络可被引入到特征结构提取中。这种方法比较直观，它将网络稳定时的输出与所求协方差矩阵的主特征向量的各个分量相对应，而网络稳定时的能量则对应于协方差矩阵的迹与所求特征值之差，计算机仿真结果验证了这种方法的正确性。     

周期函数的导函数的周期问题

本文将证明：在整个实轴上可微分的周期函数与其导函数的周期相同这一推测．     

小麦群体连续选择效应的综合分析

本试验对由信谷核不育基因构成的异效群体内４个性状进行连续两轮歧化选择，并将所得数据进行群体综合分析。结果表明：整个群体的平均表现和变异程度未发明显变化；但群体分布状况有一定改变，尤其是每穗粒数的分布数化较为明显；株高和千粒重的有效因子数估计基本符合小麦遗传实际表现，每穗粒数的有效有效因子数估计略低，说明此性状遗传背景较为简单。     

连续生产精品肝素钠的新工艺

本文首次报道连续生产精品肝素钠的新工艺。猪小肠粘膜的提取液在用离子交换树脂吸附之前,先经过氧化除杂蛋白和脱色过程,既提高了树脂对肝素钠的吸附率,同时也减轻提取液中杂质对树脂的竞争和毒害。肝素钠从树脂上被洗脱后,再连续地进行再氧化、除酸、碱性蛋白和核酸、酒精反复沉淀等工艺过程,生产出精品肝素钠,效价为156±5u/mg,得率为1.092±0.035亿单位/1000kg粘膜,本工艺具有较大的应用价值。