真核生物集缩素(condensin)的主要作用是在细胞周期过程中调控染色体的动态变化。它是一种含5个亚基的蛋白质,由1个起核心催化作用的SMC2(structure maintenance of chromosomes 2)/SMC4异二聚体和3个起调节作用的非SMC亚基组成。目前,...真核生物集缩素(condensin)的主要作用是在细胞周期过程中调控染色体的动态变化。它是一种含5个亚基的蛋白质,由1个起核心催化作用的SMC2(structure maintenance of chromosomes 2)/SMC4异二聚体和3个起调节作用的非SMC亚基组成。目前,关于集缩素中SMC2/SMC4异二聚体的体内构象和分子作用机制仍不清楚。最近,对SMC2/SMC4异二聚体的结构解析取得许多新进展。该文在简要介绍SMC蛋白的基本结构、真核生物集缩素的发现、真核生物集缩素的结构组成的基础上,对近年来SMC2/SMC4异二聚体的结构解析的研究进展作一综述,以期为相关研究提供参考。展开更多
The constriction factor method (CFM) is a new variation of the basic particle swarm optimization (PSO), which has relatively better convergent nature. The effects of the major parameters on CFM were systematically inv...The constriction factor method (CFM) is a new variation of the basic particle swarm optimization (PSO), which has relatively better convergent nature. The effects of the major parameters on CFM were systematically investigated based on some benchmark functions. The constriction factor, velocity constraint, and population size all have significant impact on the per- formance of CFM for PSO. The constriction factor and velocity constraint have optimal values in practical application, and im- proper choice of these factors will lead to bad results. Increasing population size can improve the solution quality, although the computing time will be longer. The characteristics of CFM parameters are described and guidelines for determining parameter values are given in this paper.展开更多
文摘真核生物集缩素(condensin)的主要作用是在细胞周期过程中调控染色体的动态变化。它是一种含5个亚基的蛋白质,由1个起核心催化作用的SMC2(structure maintenance of chromosomes 2)/SMC4异二聚体和3个起调节作用的非SMC亚基组成。目前,关于集缩素中SMC2/SMC4异二聚体的体内构象和分子作用机制仍不清楚。最近,对SMC2/SMC4异二聚体的结构解析取得许多新进展。该文在简要介绍SMC蛋白的基本结构、真核生物集缩素的发现、真核生物集缩素的结构组成的基础上,对近年来SMC2/SMC4异二聚体的结构解析的研究进展作一综述,以期为相关研究提供参考。
基金Project (No. 20276063) supported by the National Natural Sci-ence Foundation of China
文摘The constriction factor method (CFM) is a new variation of the basic particle swarm optimization (PSO), which has relatively better convergent nature. The effects of the major parameters on CFM were systematically investigated based on some benchmark functions. The constriction factor, velocity constraint, and population size all have significant impact on the per- formance of CFM for PSO. The constriction factor and velocity constraint have optimal values in practical application, and im- proper choice of these factors will lead to bad results. Increasing population size can improve the solution quality, although the computing time will be longer. The characteristics of CFM parameters are described and guidelines for determining parameter values are given in this paper.
