The document discusses network biology and large-scale data mining techniques used to analyze biomedical data. It describes several databases and tools developed including NetPhorest for predicting kinase-substrate relationships from sequence motifs, STRING for mapping protein-protein interaction networks across 630 genomes, and methods to predict drug side effects and potential new uses based on similarity in side effect profiles and shared targets between drugs. It also mentions several experimental validations of computational predictions including ATM phosphorylating Rad50.
127. Acknowledgments
NetPhorest.info
– Rune Linding
– Martin Lee Miller
– Francesca Diella
– Claus Jørgensen
– Michele Tinti
– Lei Li
– Marilyn Hsiung
– Sirlester A. Parker
– Jennifer Bordeaux
– Thomas Sicheritz-Pontén
– Marina Olhovsky
– Adrian Pasculescu
– Jes Alexander
– Stefan Knapp
– Nikolaj Blom
– Peer Bork
– Shawn Li
– Gianni Cesareni
– Tony Pawson
– Benjamin E. Turk
– Michael B. Yaffe
– Søren Brunak
STRING-DB.org
– Christian von Mering
– Damian Szklarczyk
– Michael Kuhn
– Manuel Stark
– Samuel Chaffron
– Chris Creevey
– Jean Muller
– Tobias Doerks
– Philippe Julien
– Alexander Roth
– Milan Simonovic
– Jan Korbel
– Berend Snel
– Martijn Huynen
– Peer Bork
Side effect
– Monica Campillos
– Michael Kuhn
– Christian von Mering
– Anne-Claude Gavin
– Peer Bork
NetworKIN.info
– Rune Linding
– Gerard Ostheimer
– Heiko Horn
– Martin Lee Miller
– Francesca Diella
– Karen Colwill
– Jing Jin
– Pavel Metalnikov
– Vivian Nguyen
– Adrian Pasculescu
– Jin Gyoon Park
– Leona D. Samson
– Rob Russell
– Peer Bork
– Michael Yaffe
– Tony Pawson