Dimerization allows DNA target site recognition by the NarL response regulator

Two-component signal transduction systems are modular phosphorelay regulatory pathways common in prokaryotes. In the co-crystal structure of the Escherichia coli NarL signal output domain bound to DNA, we observe how the NarL family of two-component response regulators can bind DNA. DNA recognition is accompanied by the formation of a new dimerization interface, which could occur only in the full-length protein via a large intramolecular domain rearrangement. The DNA is recognized by the concerted effects of solvation, van der Waals forces and inherent DNA deformability, rather than determined primarily by major groove hydrogen bonding. These subtle forces permit a small DNA-binding domain to perturb the DNA helix, leading to major DNA curvature and a transition from B- to A-form DNA at the binding site, where valine on the recognition helix interacts unexpectedly with the polar major groove floor.     

Binding and catalytic contributions to site recognition by flp recombinase

Flp catalyzes site-specific recombination in a highly sequence-specific manner despite making few direct contacts to the bases within its binding site. Sequence discrimination could take place in the binding and/or the catalytic steps. In this study, we independently measure the binding affinity and initial cleavage rate of Flp recombinase with approximately 20 designed alternate target DNA sequences. Our results show that Flp specificity is largely, although not entirely, imparted at the binding step and is the result of a combination of direct and indirect readout. The Flp binding site includes an A/T-rich region that displays a characteristically narrow minor groove. We find that many A --> T changes are tolerated at the binding step, whereas C or G substitutions tend to decrease binding affinity. The effects of the latter can be alleviated by replacing guanine with inosine, which removes the N2 amino group that protrudes into the minor groove. Some A --> T changes reduce binding affinity, due to clashing with nearby residues, reinforcing that specificity requires avoiding negative contacts as well as creating positive ones. A tracts, which can lead to unusually rigid DNA structure, are tolerated during the binding step when placed within the region where the minor groove is already narrow. However, most A tracts slow catalysis more than C or G substitutions. Understanding what kind of sequence variation is tolerated in the binding and catalytic steps helps us understand how the target DNA is recognized by Flp and will be useful in guiding the design of Flp variants with altered specificities.     

Binding matrix: a novel approach for binding site recognition

Recognition of protein-DNA binding sites in genomic sequences is a crucial step for discovering biological functions of genomic sequences. Explosive growth in availability of sequence information has resulted in a demand for binding site detection methods with high specificity. The motivation of the work presented here is to address this demand by a systematic approach based on Maximum Likelihood Estimation. A general framework is developed in which a large class of binding site detection methods can be described in a uniform and consistent way. Protein-DNA binding is determined by binding energy, which is an approximately linear function within the space of sequence words. All matrix based binding word detectors can be regarded as different linear classifiers which attempt to estimate the linear separation implied by the binding energy function. The standard approaches of consensus sequences and profile matrices are described using this framework. A maximum likelihood approach for determining this linear separation leads to a novel matrix type, called the binding matrix. The binding matrix is the most specific matrix based classifier which is consistent with the input set of known binding words. It achieves significant improvements in specificity compared to other matrices. This is demonstrated using 95 sets of experimentally determined binding words provided by the TRANSFAC database.