Data Management of Protein Interaction Networks (Hardcover)

Current PPI databases do not offer sophisticated querying interfaces and especially do not integrate existing information about proteins. Current algorithms for PIN analysis use only topological information, while emerging approaches attempt to exploit the biological knowledge related to proteins and kinds of interaction, e.g. protein function, localization, structure, described in Gene Ontology or PDB.  The book discusses technologies, standards and databases for, respectively, generating, representing and storing PPI data. It also describes main algorithms and tools for the analysis, comparison and knowledge extraction from PINs. Moreover, some case studies and applications of PINs are also discussed.

目前的蛋白質互作網路（PPI）資料庫並沒有提供複雜的查詢介面，尤其是不會整合現有的蛋白質相關資訊。目前的PPI分析演算法僅使用拓撲資訊，而新興的方法則試圖利用與蛋白質和互作類型相關的生物知識，例如蛋白質功能、定位、結構等，這些資訊可以在基因本體論（Gene Ontology）或蛋白質資料庫（PDB）中找到。本書討論了生成、表示和儲存PPI資料的技術、標準和資料庫。它還描述了主要的PPI分析、比較和知識提取演算法和工具。此外，還討論了一些PPI的案例研究和應用。