The 18 papers which experimentally study the biological roles of both TFs of the PCTFP (Pdr1-Ace2)
Workman CT, et al. (2006) A systems approach to mapping DNA damage response pathways. Science 312(5776):1054-9
Wu WS, et al. (2006) Computational reconstruction of transcriptional regulatory modules of the yeast cell cycle. BMC Bioinformatics 7(1):421
Zhao Y, et al. (2008) Development of a Novel Oligonucleotide Array-Based Transcription Factor Assay Platform for Genome-Wide Active Transcription Factor Profiling in Saccharomyces cerevisiae. J Proteome Res 7(3):1315-1325
Luscombe NM, et al. (2004) Genomic analysis of regulatory network dynamics reveals large topological changes. Nature 431(7006):308-12
Chen G, et al. (2007) Clustering of genes into regulons using integrated modeling-COGRIM. Genome Biol 8(1):R4
Zheng J, et al. (2010) Epistatic relationships reveal the functional organization of yeast transcription factors. Mol Syst Biol 6():420
Jothi R, et al. (2009) Genomic analysis reveals a tight link between transcription factor dynamics and regulatory network architecture. Mol Syst Biol 5:294
Gordan R, et al. (2011) Curated collection of yeast transcription factor DNA binding specificity data reveals novel structural and gene regulatory insights. Genome Biol 12(12):R125
Babbitt GA (2010) Relaxed selection against accidental binding of transcription factors with conserved chromatin contexts. Gene 466(1-2):43-8
Bussereau F, et al. (2006) The Kluyveromyces lactis repertoire of transcriptional regulators. FEMS Yeast Res 6(3):325-35
Zhao XQ and Bai F (2012) Zinc and yeast stress tolerance: micronutrient plays a big role. J Biotechnol 158(4):176-83
Beskow A and Wright AP (2006) Comparative analysis of regulatory transcription factors in Schizosaccharomyces pombe and budding yeasts. Yeast 23(13):929-35
Yu H and Gerstein M (2006) Genomic analysis of the hierarchical structure of regulatory networks. Proc Natl Acad Sci U S A 103(40):14724-31
Manioudaki ME and Poirazi P (2013) Modeling regulatory cascades using Artificial Neural Networks: the case of transcriptional regulatory networks shaped during the yeast stress response. Front Genet 4():110
Lai FJ, et al. (2014) A comprehensive performance evaluation on the prediction results of existing cooperative transcription factors identification algorithms. BMC Syst Biol 8 Suppl 4():S9
Yu T and Li KC (2005) Inference of transcriptional regulatory network by two-stage constrained space factor analysis. Bioinformatics 21(21):4033-8
Chen T and Li F (2009) Identifying cell cycle regulators and combinatorial interactions among transcription factors with microarray data and ChIP-chip data. Int J Bioinform Res Appl 5(6):625-46
Yu X, et al. (2006) Genome-wide prediction and characterization of interactions between transcription factors in Saccharomyces cerevisiae. Nucleic Acids Res 34(3):917-27