针对蚁群聚类在蛋白质相互作用(protein-protein interaction,PPI)网络中进行功能模块检测问题上时间性能的不足,提出一种快速的基于蚁群聚类的PPI网络功能模块检测(fast ant colony clustering for functional module detection,FACC-F...针对蚁群聚类在蛋白质相互作用(protein-protein interaction,PPI)网络中进行功能模块检测问题上时间性能的不足,提出一种快速的基于蚁群聚类的PPI网络功能模块检测(fast ant colony clustering for functional module detection,FACC-FMD)方法.该算法计算每个蛋白质与核心组蛋白质的相似度,根据拾起放下模型进行聚类,得到的初始聚类结果中功能模块之间相似度很小,省去了原始蚁群聚类算法中的合并和过滤操作,缩短了求解时间.同时该算法根据蛋白质的关键性对蚁群聚类中的拾起放下操作做了更严格的约束,以减少拾起放下的次数,加速了聚类的过程.在多个PPI网络上的实验表明:与原始蚁群聚类方法相比,FACC-FMD大幅度提高了时间性能,同时取得了良好的检测质量,而且与近年来的一些经典算法相比在多项性能指标上也具有一定的优势.展开更多
Hepatitis C virus (HCV) encodes a single polyprotein, which is processed by cellular and viral proteases to generate 10 polypeptides. The HCV genome also contains an overlapping +1 reading frame that may lead to the s...Hepatitis C virus (HCV) encodes a single polyprotein, which is processed by cellular and viral proteases to generate 10 polypeptides. The HCV genome also contains an overlapping +1 reading frame that may lead to the synthesis of an additional protein. Until recently, studies of HCV have been hampered by the lack of a productive cell culture system. Since the identification of HCV genome approximately 17 years ago, structural, biochemical and biological information on HCV proteins has mainly been obtained with proteins produced by heterologous expression systems. In addition, some functional studies have also been confirmed with replicon systems or with retroviral particles pseudotyped with HCV envelope glycoproteins. The data that have accumulated on HCV proteins begin to provide a framework for understanding the molecular mechanisms involved in the major steps of HCV life cycle. Moreover, the knowledge accumulated on HCV proteins is also leading to the development of antiviral drugs among which some are showing promising results in early- phase clinical trials. This review summarizes the current knowledge on the functions and biochemical features of HCV proteins.展开更多
文摘针对蚁群聚类在蛋白质相互作用(protein-protein interaction,PPI)网络中进行功能模块检测问题上时间性能的不足,提出一种快速的基于蚁群聚类的PPI网络功能模块检测(fast ant colony clustering for functional module detection,FACC-FMD)方法.该算法计算每个蛋白质与核心组蛋白质的相似度,根据拾起放下模型进行聚类,得到的初始聚类结果中功能模块之间相似度很小,省去了原始蚁群聚类算法中的合并和过滤操作,缩短了求解时间.同时该算法根据蛋白质的关键性对蚁群聚类中的拾起放下操作做了更严格的约束,以减少拾起放下的次数,加速了聚类的过程.在多个PPI网络上的实验表明:与原始蚁群聚类方法相比,FACC-FMD大幅度提高了时间性能,同时取得了良好的检测质量,而且与近年来的一些经典算法相比在多项性能指标上也具有一定的优势.
文摘Hepatitis C virus (HCV) encodes a single polyprotein, which is processed by cellular and viral proteases to generate 10 polypeptides. The HCV genome also contains an overlapping +1 reading frame that may lead to the synthesis of an additional protein. Until recently, studies of HCV have been hampered by the lack of a productive cell culture system. Since the identification of HCV genome approximately 17 years ago, structural, biochemical and biological information on HCV proteins has mainly been obtained with proteins produced by heterologous expression systems. In addition, some functional studies have also been confirmed with replicon systems or with retroviral particles pseudotyped with HCV envelope glycoproteins. The data that have accumulated on HCV proteins begin to provide a framework for understanding the molecular mechanisms involved in the major steps of HCV life cycle. Moreover, the knowledge accumulated on HCV proteins is also leading to the development of antiviral drugs among which some are showing promising results in early- phase clinical trials. This review summarizes the current knowledge on the functions and biochemical features of HCV proteins.
