Tissue-specific subnetworks and characteristics of publicly available human protein interaction databases | Zendy

Tiago J. S. Lopes | Zendy; Martin H. Schaefer | Zendy; Jason E. Shoemaker | Zendy; Yukiko Matsuoka | Zendy; Jean−Fred Fontaine | Zendy; Gabriele Neumann | Zendy; Miguel A. AndradeNavarro | Zendy; Yoshihiro Kawaoka | Zendy; Hiroaki Kitano | Zendy

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Tissue-specific subnetworks and characteristics of publicly available human protein interaction databases

Author(s) -

Tiago J. S. Lopes,

Martin H. Schaefer,

Jason E. Shoemaker,

Yukiko Matsuoka,

Jean−Fred Fontaine,

Gabriele Neumann,

Miguel A. AndradeNavarro,

Yoshihiro Kawaoka,

Hiroaki Kitano

Publication year - 2011

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btr414

Subject(s) - database , computer science , protein–protein interaction , interaction information , interaction network , expression (computer science) , computational biology , data mining , gene , biology , genetics , statistics , mathematics , programming language

Protein-protein interaction (PPI) databases are widely used tools to study cellular pathways and networks; however, there are several databases available that still do not account for cell type-specific differences. Here, we evaluated the characteristics of six interaction databases, incorporated tissue-specific gene expression information and finally, investigated if the most popular proteins of scientific literature are involved in good quality interactions.

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