id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-016448-7imgztwe	Frishman, D.	Protein-protein interactions: analysis and prediction	2009-10-01		.txt	text/plain	18354	912	39	In general, investigating the topology of protein interaction, metabolic, signaling, and transcriptional networks allows researchers to reveal the fundamental principles of molecular organization of the cell and to interpret genome data in the context of large-scale experiments. The basic principle is fairly simple and rests implicitly on a multigraph representation: several interaction networks to be integrated, each resulting from a specific experimental or predictive method, are defined over the same set of proteins. This software provides functionalities for (i) generating biological networks, either manually or by importing interaction data from various sources, (ii) filtering interactions, (iii) displaying networks using graph layout algorithms, (iv) integrating and displaying additional information like gene expression data, and (v) performing analyses on networks, for instance, by calculating topological network properties or by identifying functional modules. The evidence can be derived from literature mining, functional associations based on Gene Ontology annotations, co-occurrence of transcriptional motifs, correlation of expression data, sequence similarity, common protein domains, shared metabolic pathway membership, and protein-protein interactions.	./cache/cord-016448-7imgztwe.txt	./txt/cord-016448-7imgztwe.txt