Drosophila has almost all transcription factor binding specificities available to humans; and human transcription factors with divergent specificities operate in cell types that are not found in fruit flies.
The transcription factor (TF)-binding specificities of Pseudomonas aeruginosa allow us to predict virulence-associated TFs and their target genes, which will facilitate to find effective treatment and prevention for its associated diseases.
HIV vaccine-induced binding and neutralizing antibody epitope specificities were mapped at high resolution directly from polyclonal sera, overcoming shortcomings in traditional serum mapping approaches and enabling highly detailed vaccine design.
Protein binding microarrays highlight the diversification of DNA-binding motifs for the nuclear hormone receptor and C2H2 zinc finger transcription factor families, and reveal unexpected diversity in motifs for the T-box and DM families.
Cognate site identification uncovers the impact of combinatorial dimerization in specifying new DNA binding sites for human bZIP transcription factors and comprehensive specificity landscapes predict the impact of SNPs on bZIP binding at previously unannotated regulatory loci.
The epistasis observed in TF-DNA binding preferences can be explained by the presence of two optima of very similar Gibbs energy that are located relatively far from each other in sequence space.
Divergence in immunoproteasome substrate specificity and regulation from the constitutive proteasome impacts peptide cleavage quantity and the cellular capacity of the ubiquitin-proteasome system.
Deep mining of GT-A fold sequences provides an evolutionary framework for investigating complex relationships connecting GT-A fold sequence, structure, function and regulation.
