While binding data for AP3, PI and AG are currently available only for ~ stage 4 flowers [ 12, 13], for AP1 and SEP3, binding data for three distinct stages (2, 5-6, and 7-8) have been generated [ 14].
In sum, our experiments identified reproducible, genome-wide binding data for three liver-specific TFs with highly conserved protein sequences and cellular functions in matched tissues from five mouse species.
We apply the linkage models to the binding data for two published noncovalently oligomeric ligands: one targeting a small molecule (phosphocholine) and the other targeting a soluble protein (tumor necrosis factor α).
In this work, we illustrate and describe a model building workflow with an optimized feature selection methodology and show its application in real world examples, by directly fetching binding data for thirty different QSAR problems from an online manually curated database (ChEMBL [42]) and building models using runtime prepared processed data.
We demonstrate the usefulness of our approach on gene expression data for two types of leukaemia and on protein-DNA binding data for two growth conditions in Saccharomyces cerevisiae.
To test whether these and other RNA-binding proteins function together with hnRNP C, we examined published binding data for seven hnRNP proteins (hnRNP A1, A2B1, F, H, M, U, and PTB; Huelga et al., 2012; Xue et al., 2009).
Old Figure 4 (now 5) shows equilibrium binding data for two ATP-hydrolysis defective mutants in panels A and C (K270A and K270R); equilibrium data with ATP can unquestionably be obtained for these two mutant proteins, and the interpretation of those binding data will not be encumbered with the complexities of steady-state ATP hydrolysis.
The saturation binding data for all three forms of cG250 gave around 1.2×106 sites/cells (Figures S1A, S1B and S1C).
Training data consisted of sequences and binding data for nonamer (nine amino acid) peptides.
Using the binding data for these four transcription factors as a foundation, we sought to construct the transcriptional networks governing neural stem cell self-renewal and differentiation.
Intriguingly, while both BLI and SwitchSENSE demonstrated efficient target recognition for Cas9 tracrRNA crRNA complexes and no recognition for crDNA equivalents, the binding data for crHyb varied between the two methods.
