SIC1/YLR079W Literature Guide Help

Other names published for SIC1: SDB25, YLR079W

SIC1 - Computational analysis (41)

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
Thompson EG and Galitski T  (2012) Quantifying and analyzing the network basis of genetic complexity. PLoS Comput Biol 8(7):e1002583
Adrover MA, et al.  (2011) Time-Dependent Quantitative Multicomponent Control of the G1-S Network by the Stress-Activated Protein Kinase Hog1 upon Osmostress. Sci Signal 4(192):ra63
Ball DA, et al.  (2011) Stochastic exit from mitosis in budding yeast: Model predictions and experimental observations. Cell Cycle 10(6):999-1009
Barberis M, et al.  (2011) A low number of SIC1 mRNA molecules ensures a low noise level in cell cycle progression of budding yeast. Mol Biosyst 7(10):2804-12
Barberis M, et al.  (2011) Sic1 plays a role in timing and oscillatory behaviour of B-type cyclins. Biotechnol Adv 30(1):108-30
Ding S and Wang W  (2011) Recipes and mechanisms of cellular reprogramming: a case study on budding yeast Saccharomyces cerevisiae. BMC Syst Biol 5(1):50
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
Higa CH, et al.  (2011) Constraint-based analysis of gene interactions using restricted boolean networks and time-series data. BMC Proc 5 Suppl 2():S5
Hood-Degrenier JK  (2011) Identification of phosphatase 2A-like Sit4-mediated signalling and ubiquitin-dependent protein sorting as modulators of caffeine sensitivity in S. cerevisiae. Yeast 28(3):189-204
Verdicchio MP and Kim S  (2011) Identifying targets for intervention by analyzing basins of attraction. Pac Symp Biocomput ():350-61
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
Vohradska E and Vohradsky J  (2011) Virtual mutagenesis of the yeast cyclins genetic network reveals complex dynamics of transcriptional control networks. PLoS One 6(4):e18827
Brummer A, et al.  (2010) Mathematical Modelling of DNA Replication Reveals a Trade-off between Coherence of Origin Activation and Robustness against Rereplication. PLoS Comput Biol 6(5):e1000783
Mangla K, et al.  (2010) Timing robustness in the budding and fission yeast cell cycles. PLoS One 5(2):e8906
Palumbo P, et al.  (2010) Networks and circuits in cell regulation. Biochem Biophys Res Commun 396(4):881-6
To CC and Vohradsky J  (2010) Measurement variation determines the gene network topology reconstructed from experimental data: a case study of the yeast cyclin network. FASEB J 24(9):3468-78
Varedi K SM, et al.  (2010) Multisite phosphorylation provides an effective and flexible mechanism for switch-like protein degradation. PLoS One 5(12):e14029
Wang G, et al.  (2010) Process-based network decomposition reveals backbone motif structure. Proc Natl Acad Sci U S A 107(23):10478-83
Alberghina L, et al.  (2009) Molecular networks and system-level properties. J Biotechnol 144(3):224-33
Ay F, et al.  (2009) Scalable steady state analysis of boolean biological regulatory networks. PLoS One 4(12):e7992
Faure A, et al.  (2009) Modular logical modelling of the budding yeast cell cycle. Mol Biosyst 5(12):1787-96
Lyu S  (2009) Combining boolean method with delay times for determining behaviors of biological networks. Conf Proc IEEE Eng Med Biol Soc 1():4884-7
Nguyen Ba AN, et al.  (2009) NLStradamus: a simple Hidden Markov Model for nuclear localization signal prediction. BMC Bioinformatics 10:202
Kundaje A, et al.  (2008) A predictive model of the oxygen and heme regulatory network in yeast. PLoS Comput Biol 4(11):e1000224
Nyswaner KM, et al.  (2008) Chromatin-associated genes protect the yeast genome from ty1 insertional mutagenesis. Genetics 178(1):197-214
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
Alarcon T and Tindall MJ  (2007) Modelling cell growth and its modulation of the G1/S transition. Bull Math Biol 69(1):197-214