STRING: Protein networks from data and text mining

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This document discusses building protein networks through data and text mining. It describes integrating data from many databases on protein interactions and functional associations, which are in various formats and identifiers. Named entity recognition and co-mentioning are used to extract protein names and their relationships from text. The integrated data is then visualized in networks and databases like STRING provide this network data along with search and analysis tools through a web resource, files, and APIs.

STRING
Protein networks from data and text
mining
Lars Juhl Jensen

Korbel et al., Nature Biotechnology, 2004

Letunic & Bork, Trends in Biochemical Sciences, 2008

von Mering et al., Nucleic Acids Research, 2005

Szklarczyk et al., Nucleic Acids Research, 2015string-db.org

Acknowledgments
Damian Szklarczyk
John "Scooter" Morris
Helen Cook
Michael Kuhn
Stefan Wyder
Milan Simonovic
Alberto Santos
Nadezhda Doncheva
Alexander Roth
Peer Bork
Christian von Mering

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