CDC28/YBR160W Literature Guide Help

Other names published for CDC28: CDK1, HSL5, SRM5, YBR160W

CDC28 - Computational analysis (46)

Results: 1 - 30 of 46 records
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ReferenceOther Genes Addressed
Freire P, et al.  (2012) Interplay of transcriptional and proteolytic regulation in driving robust cell cycle progression. Mol Biosyst 8(3):863-70
Hancioglu B and Tyson JJ  (2012) A mathematical model of mitotic exit in budding yeast: the role of polo kinase. PLoS One 7(2):e30810
Jiang CR, et al.  (2012) Inferring Genetic Interactions via a Data-Driven Second Order Model. Front Genet 3():71
Lai AC, et al.  (2012) Predicting kinase substrates using conservation of local motif density. Bioinformatics 28(7):962-9
Luciani D and Bazzoni G  (2012) From Networks of Protein Interactions to Networks of Functional Dependencies. BMC Syst Biol 6(1):44
Pultz D, et al.  (2012) Global mapping of protein phosphorylation events identifies Ste20, Sch9 and the cell-cycle regulatory kinases Cdc28/Pho85 as mediators of fatty acid starvation responses in Saccharomyces cerevisiae. Mol Biosyst 8(3):796-803
Tkach JM, et al.  (2012) Dissecting DNA damage response pathways by analysing protein localization and abundance changes during DNA replication stress. Nat Cell Biol 14(9):966-76
Barberis M, et al.  (2011) Sic1 plays a role in timing and oscillatory behaviour of B-type cyclins. Biotechnol Adv 30(1):108-30
Dawy Z, et al.  (2011) A multiorganism based method for Bayesian gene network estimation. Biosystems 103(3):425-34
Fox AD, et al.  (2011) Connectedness of PPI network neighborhoods identifies regulatory hub proteins. Bioinformatics 27(8):1135-42
Gallo CA, et al.  (2011) Discovering Time-Lagged Rules from Microarray Data using Gene Profile Classifiers. BMC Bioinformatics 12(1):123
Gormley M, et al.  (2011) An integrated framework to model cellular phenotype as a component of biochemical networks. Adv Bioinformatics 2011():608295
Vinod PK, et al.  (2011) Computational modelling of mitotic exit in budding yeast: the role of separase and Cdc14 endocycles. J R Soc Interface 8(61):1128-41
Barberis M, et al.  (2010) Kinetic modelling of DNA replication initiation in budding yeast. Genome Inform 24(1):1-20
Breitkreutz A, et al.  (2010) A global protein kinase and phosphatase interaction network in yeast. Science 328(5981):1043-6
Katebi AR, et al.  (2010) Structural interpretation of protein-protein interaction network. BMC Struct Biol 10 Suppl 1():S4
Lee E and Bussemaker HJ  (2010) Identifying the genetic determinants of transcription factor activity. Mol Syst Biol 6():412
Mok J, et al.  (2010) Deciphering protein kinase specificity through large-scale analysis of yeast phosphorylation site motifs. Sci Signal 3(109):ra12
Alberghina L, et al.  (2009) Molecular networks and system-level properties. J Biotechnol 144(3):224-33
Csikasz-Nagy A, et al.  (2009) Cell cycle regulation by feed-forward loops coupling transcription and phosphorylation. Mol Syst Biol 5:236
Faure A, et al.  (2009) Modular logical modelling of the budding yeast cell cycle. Mol Biosyst 5(12):1787-96
Gopalacharyulu PV, et al.  (2009) Dynamic network topology changes in functional modules predict responses to oxidative stress in yeast. Mol Biosyst 5(3):276-87
Kar S, et al.  (2009) Exploring the roles of noise in the eukaryotic cell cycle. Proc Natl Acad Sci U S A 106(16):6471-6
Kosugi S, et al.  (2009) Systematic identification of cell cycle-dependent yeast nucleocytoplasmic shuttling proteins by prediction of composite motifs. Proc Natl Acad Sci U S A 106(25):10171-6
Ruan J, et al.  (2009) An ensemble learning approach to reverse-engineering transcriptional regulatory networks from time-series gene expression data. BMC Genomics 10 Suppl 1:S8
Tran N, et al.  (2009) In silico construction of a protein interaction landscape for nucleotide excision repair. Cell Biochem Biophys 53(2):101-14
Qi Y, et al.  (2008) Finding friends and enemies in an enemies-only network: A graph diffusion kernel for predicting novel genetic interactions and co-complex membership from yeast genetic interactions. Genome Res 18(12):1991-2004
Zhao XM, et al.  (2008) Uncovering signal transduction networks from high-throughput data by integer linear programming. Nucleic Acids Res 36(9):e48
Alarcon T and Tindall MJ  (2007) Modelling cell growth and its modulation of the G1/S transition. Bull Math Biol 69(1):197-214
Aldea M, et al.  (2007) Control of cell cycle and cell growth by molecular chaperones. Cell Cycle 6(21):2599-603
Results: 1 - 30 of 46 records
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