Annotating proteins by mining protein interaction networks | Zendy

Mustafa Kıraç | Zendy; Gültekin Özsoyoğlu | Zendy; Jiong Yang | Zendy

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Annotating proteins by mining protein interaction networks

Author(s) -

Mustafa Kıraç,

Gültekin Özsoyoğlu,

Jiong Yang

Publication year - 2006

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btl221

Subject(s) - computer science , probabilistic logic , protein function prediction , set (abstract data type) , data mining , a priori and a posteriori , annotation , precision and recall , tree (set theory) , suffix , suffix tree , function (biology) , protein function , machine learning , information retrieval , artificial intelligence , data structure , gene , biology , programming language , mathematical analysis , biochemistry , philosophy , linguistics , mathematics , epistemology , evolutionary biology

In general, most accurate gene/protein annotations are provided by curators. Despite having lesser evidence strengths, it is inevitable to use computational methods for fast and a priori discovery of protein function annotations. This paper considers the problem of assigning Gene Ontology (GO) annotations to partially annotated or newly discovered proteins.

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