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估计一个蛋白质家族属于一个新折叠子的概率
  • ISSN号：0469-5097
  • 期刊名称：南京大学学报(数学半年刊)
  • 时间：0
  • 页码：88-96
  • 分类：O1[理学—数学;理学—基础数学]
  • 作者机构：[1]南京航空航天大学高新技术研究院, [2]南京航空航天大学理学院
  • 相关基金：国家自然科学基金(10971097,10732040); 国家973计划(2007CB936204)资助
  • 相关项目：生物序列数据的统计模型和算法
作者： 吕波|刘心声|
关键词： 蛋白质家族, 新折叠子, 概率, 贝叶斯方法
中文摘要：

关于蛋白质家族、结构和新功能的统计推断是应用数理统计的一个前沿交叉研究方向.本文以蛋白质结构分类数据库SCOP和序列分类数据库Pfam为基础,结合SCOP数据库的动态信息,我们估计出覆盖当前Pfam数据库所需的折叠子总数;通过SCOP中新增家族在Pfam中的对应家族所属的折叠子是否已知为先验信息构建贝叶斯模型,估计了不同规模的Pfam家族贡献新折叠子的概率分布.

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期刊信息
  • 《南京大学学报：自然科学版》
  • 中国科技核心期刊
  • 主管单位:中华人民共和国教育部
  • 主办单位:南京大学
  • 主编：龚昌德
  • 地址：南京汉口路22号南京大学（自然科学版）编辑部
  • 邮编：210093
  • 邮箱：xbnse@netra.nju.edu.cn
  • 电话：025-83592704
  • 国际标准刊号：ISSN：0469-5097
  • 国内统一刊号：ISSN：32-1169/N
  • 邮发代号:28-25
  • 获奖情况:
  • 中国自然科学核心期刊,中国期刊方阵“双效”期刊
  • 国内外数据库收录:
  • 美国化学文摘（网络版）,美国数学评论（网络版）,德国数学文摘,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）,中国北大核心期刊（2000版）
  • 被引量:9316