Collecting and organizing systematic sets of protein data.
Systems biology, particularly of mammalian cells, is data starved. However, technologies are now in place to obtain rich data, in a form suitable for model construction and validation, that describes the activities, states and locations of cell-signalling molecules. The key is to use several measurement technologies simultaneously and, recognizing each of their limits, to assemble a self-consistent compendium of systematic data.
Albeck
John G
JG
Center for Cell Decision Processes, Department of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, USA.
MacBeath
Gavin
G
White
Forest M
FM
Sorger
Peter K
PK
Lauffenburger
Douglas A
DA
Gaudet
Suzanne
S
D000818:Animals; D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods* / Q000706:statistics & numerical data; D030562:Databases, Protein; D005786:Gene Expression Regulation; D006801:Humans; D007118:Immunoassay; D008954:Models, Biological; D011499:Protein Processing, Post-Translational