国际标准期刊号: 2168-9652

生物化学与生理学:开放获取

开放获取

我们集团组织了 3000 多个全球系列会议 每年在美国、欧洲和美国举办的活动亚洲得到 1000 多个科学协会的支持 并出版了 700+ 开放获取期刊包含超过50000名知名人士、知名科学家担任编委会成员。

开放获取期刊获得更多读者和引用
700 种期刊 15,000,000 名读者 每份期刊 获得 25,000 多名读者

索引于
  • CAS 来源索引 (CASSI)
  • 哥白尼索引
  • 谷歌学术
  • 夏尔巴·罗密欧
  • 打开 J 门
  • Genamics 期刊搜索
  • 学术钥匙
  • 期刊目录
  • 乌尔里希的期刊目录
  • 电子期刊图书馆
  • 参考搜索
  • 哈姆达大学
  • 亚利桑那州EBSCO
  • OCLC-世界猫
  • 学者指导
  • SWB 在线目录
  • 虚拟生物学图书馆 (vifabio)
  • 普布隆斯
  • 欧洲酒吧
  • ICMJE
分享此页面

抽象的

Identifying Protein Complexes from Dynamic Temporal Interval Protein- Protein Interaction Networks

Cohen Stefan

Protein-protein interactions are essential for the functioning of biological systems, and protein complexes play a crucial role in performing specific cellular functions. Recent advancements in high-throughput technologies have enabled the generation of dynamic temporal interval protein-protein interaction networks that capture the dynamic nature of protein interactions over time. Identifying protein complexes from TIPINs provides insights into their temporal behavior and functional dynamics. This article presents an overview of the process of identifying protein complexes from dynamic temporal interval protein-protein interaction networks. The steps involved include data integration and preprocessing, network construction, community detection, temporal analysis, and validation. The identification and analysis of protein complexes from TIPINs offer a deeper understanding of complex biological systems and their temporal regulation.

免责声明: 此摘要通过人工智能工具翻译,尚未经过审核或验证。