医学文献 >>
  • 检索发现
  • 增强检索
知识库 >>
  • 临床诊疗知识库
  • 中医药知识库
评价分析 >>
  • 机构
  • 作者
默认
×
热搜词:
换一批
论文 期刊
取消
高级检索

检索历史 清除

Coevolution study of mitochondria respiratory chain proteins:Toward the understanding of protein-protein interaction

摘要Coevolution can be seen as the interdependency between evolutionary histories. In the context of protein evolution, functional correlation proteins are ever-present coordinated evolutionary characters without disruption of organismal integrity. As to complex system, there are two forms of protein-protein interactions in vivo, which refer to inter-complex interaction and intra-complex interaction. In this paper, we studied the difference of coevolution characters between inter-complex interaction and intra-complex interaction using "Mirror tree" method on the respiratory chain (RC) proteins. We divided the correlation coefficients of every pairwise RC proteins into two groups corresponding to the binary protein-protein interaction in intra-complex and the binary protein-protein interaction in inter-complex, respectively. A dramatical discrepancy is detected between the coevolution characters of the two sets of protein interactions (Wilcoxon test, p-value = 4.4 x 10-6). Our finding reveals some critical information on coevolutionary study and assists the mechanical investigation of protein-protein interaction.Furthermore, the results also provide some unique clue for supramolecular organization of protein complexes in the mitochondrial inner membrane. More detailed binding sites map and genome information of nuclear encoded RC proteins will be extraordinary valuable for the further mitochondria dynamics study.

更多
广告
分类号 Q51(蛋白质)
栏目名称
DOI 10.1016/j.jgg.2011.04.003
发布时间 2011-07-22(万方平台首次上网日期,不代表论文的发表时间)
提交
  • 浏览111
  • 下载0
遗传学报

遗传学报

2011年38卷5期

201-207页

SCIMEDLINEISTICCSCDCABP

加载中!

相似文献

  • 中文期刊
  • 外文期刊
  • 学位论文
  • 会议论文

加载中!

加载中!

加载中!

加载中!

法律状态公告日 法律状态 法律状态信息

特别提示:本网站仅提供医学学术资源服务,不销售任何药品和器械,有关药品和器械的销售信息,请查阅其他网站。

  • 客服热线:4000-115-888 转3 (周一至周五:8:00至17:00)

  • |
  • 客服邮箱:yiyao@wanfangdata.com.cn

  • 违法和不良信息举报电话:4000-115-888,举报邮箱:problem@wanfangdata.com.cn,举报专区

官方微信
万方医学小程序
new医文AI 翻译 充值 订阅 收藏 移动端

官方微信

万方医学小程序

使用
帮助
Alternate Text
调查问卷