constructing in vivo phosphorylation networks
TRANSCRIPT
NetPhorest
more sequence motifs
data organization
compilation of datasets
redundancy reduction
cross-validation partitioning
ANN training
classifier selection
an atlas of linear motifs
179 kinases
93 SH2 domains
8 PTB domains
BRCT domains
WW domains
14-3-3 proteins
benchmarking
relative scale
absolute scale
low-specificity kinases
disease-related kinases
docking domains
autophosphorylation
summary
Acknowledgments
Rune LindingMartin Lee MillerFrancesca DiellaClaus JørgensenMichele TintiLei LiMarilyn HsiungSirlester A. ParkerJennifer BordeauxThomas Sicheritz-PonténMarina Olhovsky
Adrian PasculescuJes AlexanderStefan KnappNikolaj BlomPeer BorkShawn LiGianni CesareniTony PawsonBenjamin E. TurkMichael B. YaffeSøren Brunak
Topics
Network biology
Signaling networksAssociation networks
Disease systems biology
Disease and drug networksCell cycle and cancer
Analysis of high-throughput data
Protein interactionsPhosphoproteomicsProteomicsTranscriptomics
Text mining
Integration of text and high-throughput data