Ying Han*, Liang Cheng and Weiju Sun Pages 1 - 14 ( 14 )
The interactions among proteins and genes are extremely important for cellular functions. Molecular interactions at protein or gene levels can be used to construct interaction networks in which the interacting species are categorized based on direct interactions or functional similarities. Compared with the limited experimental techniques, various computational tools make it possible to analyze, filter, and combine the interaction data to get comprehensive information about the biological pathways. By the efficient way of integrating experimental findings in discovering PPIs and computational techniques for prediction, the researchers have been able to gain many valuable data on PPIs, including some advanced databases. Moreover, many useful tools and visualization programs enable the researchers to establish, annotate, and analyze biological networks. We here review and list the computational methods, databases, and tools for protein−protein interaction prediction.
protein, interaction, network, computational, prediction, function
Cardiovascular Department, the Fourth Affiliated Hospital of Harbin Medical University, Harbin, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Cardiovascular Department, the First Affiliated Hospital of Harbin Medical University, Harbin