TPK1/YJL164C Literature Guide Help

Other names published for TPK1: PKA1, SRA3, YJL164C

TPK1 - Computational analysis (13)

ReferenceOther Genes Addressed
Besozzi D, et al.  (2012) The role of feedback control mechanisms on the establishment of oscillatory regimes in the Ras/cAMP/PKA pathway in S. cerevisiae. EURASIP J Bioinform Syst Biol 2012(1):10
Lai AC, et al.  (2012) Predicting kinase substrates using conservation of local motif density. Bioinformatics 28(7):962-9
Navlakha S, et al.  (2012) A Network-based Approach for Predicting Missing Pathway Interactions. PLoS Comput Biol 8(8):e1002640
Nandy SK, et al.  (2010) Reconstruction of the yeast protein-protein interaction network involved in nutrient sensing and global metabolic regulation. BMC Syst Biol 4():68
Barea F and Bonatto D  (2009) Aging defined by a chronologic-replicative protein network in Saccharomyces cerevisiae: an interactome analysis. Mech Ageing Dev 130(7):444-60
Pelechano V, et al.  (2009) Regulon-specific control of transcription elongation across the yeast genome. PLoS Genet 5(8):e1000614
Selpi S, et al.  (2009) Predicting functional upstream open reading frames in Saccharomyces cerevisiae. BMC Bioinformatics 10():451
Gao X, et al.  (2008) Proteome-wide prediction of PKA phosphorylation sites in eukaryotic kingdom. Genomics 92(6):457-63
Vinod PK and Venkatesh KV  (2007) Specificity of MAPK signaling towards FLO11 expression is established by crosstalk from cAMP pathway. Syst Synth Biol 1(2):99-108
Brinkworth RI, et al.  (2006) Protein kinases associated with the yeast phosphoproteome. BMC Bioinformatics 7():47
Kundaje A, et al.  (2006) A classification-based framework for predicting and analyzing gene regulatory response. BMC Bioinformatics 7 Suppl 1():S5
Middendorf M, et al.  (2004) Predicting genetic regulatory response using classification. Bioinformatics 20 Suppl 1():i232-40
Segal E, et al.  (2003) Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data. Nat Genet 34(2):166-76