SHO1/YER118C Literature Guide Help

Other names published for SHO1: SSU81, YER118C

SHO1 - Computational analysis (13)

ReferenceOther Genes Addressed
Hou T, et al.  (2012) Characterization of domain-peptide interaction interface: prediction of SH3 domain-mediated protein-protein interaction network in yeast by generic structure-based models. J Proteome Res 11(5):2982-95
Navlakha S, et al.  (2012) A Network-based Approach for Predicting Missing Pathway Interactions. PLoS Comput Biol 8(8):e1002640
Schaber J, et al.  (2012) Modelling reveals novel roles of two parallel signalling pathways and homeostatic feedbacks in yeast. Mol Syst Biol 8():622
Klipp E  (2011) Computational Yeast Systems Biology: A Case Study for the MAP Kinase Cascade. Methods Mol Biol 759():323-43
Schaber J, et al.  (2011) Automated Ensemble Modeling with modelMaGe: Analyzing Feedback Mechanisms in the Sho1 Branch of the HOG Pathway. PLoS One 6(3):e14791
Thorne TW, et al.  (2011) Prediction of putative protein interactions through evolutionary analysis of osmotic stress response in the model yeast Saccharomyces cerevisae. Fungal Genet Biol 48(5):504-11
Kuhn C, et al.  (2010) Formal representation of the high osmolarity glycerol pathway in yeast. Genome Inform 22(1):69-83
Waltermann C and Klipp E  (2010) Signal integration in budding yeast. Biochem Soc Trans 38(5):1257-64
Wang YC and Chen BS  (2010) Integrated cellular network of transcription regulations and protein-protein interactions. BMC Syst Biol 4():20
Gilchrist MA, et al.  (2009) Measuring and detecting molecular adaptation in codon usage against nonsense errors during protein translation. Genetics 183(4):1493-505
Parmar JH, et al.  (2009) A model-based study delineating the roles of the two signaling branches of Saccharomyces cerevisiae, Sho1 and Sln1, during adaptation to osmotic stress. Phys Biol 6(3):36019
Cvijovic M, et al.  (2007) Identification of putative regulatory upstream ORFs in the yeast genome using heuristics and evolutionary conservation. BMC Bioinformatics 8:295
Zhang L, et al.  (2006) An integrated machine learning system to computationally screen protein databases for protein binding peptide ligands. Mol Cell Proteomics 5(7):1224-32