POINT: A database for the prediction of protein-protein interactions based on the orthologous interactome

Tao Wei Huang, An Chi Tien, Wen Shien Huang, Yuan Chii G. Lee, Chin Lin Peng, Huei Hun Tseng, Cheng Yan Kao, Chi Ying F. Huang

研究成果: 雜誌貢獻文章同行評審

87 引文 斯高帕斯(Scopus)

摘要

Summary: One possible path towards understanding the biological function of a target protein is through the discovery of how it interfaces within protein-protein interaction networks. The goal of this study was to create a virtual protein-protein interaction model using the concepts of orthologous conservation (or interologs) to elucidate the interacting networks of a particular target protein. POINT (the prediction of interactome database) is a functional database for the prediction of the human protein-protein interactome based on available orthologous interactome datasets. POINT integrates several publicly accessible databases, with emphasis placed on the extraction of a large quantity of mouse, fruit fly, worm and yeast protein-protein interactions datasets from the Database of Interacting Proteins (DIP), followed by conversion of them into a predicted human interactome. In addition, protein-protein interactions require both temporal synchronicity and precise spatial proximity. POINT therefore also incorporates correlated mRNA expression clusters obtained from cell cycle microarray databases and subcellular localization from Gene Ontology to further pinpoint the likelihood of biological relevance of each predicted interacting sets of protein partners.
原文英語
頁(從 - 到)3273-3276
頁數4
期刊Bioinformatics
20
發行號17
DOIs
出版狀態已發佈 - 十一月 22 2004

ASJC Scopus subject areas

  • 統計與概率
  • 生物化學
  • 分子生物學
  • 電腦科學應用
  • 計算機理論與數學
  • 計算數學

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