A new method for evaluating the specificity of indirect readout in protein-DNA recognition

Proteins recognize a specific DNA sequence not only through direct contact (direct readout) with base pairs but also through sequence-dependent conformation and/or flexibility of DNA (indirect readout). However, it is difficult to assess the contribution of indirect readout to the sequence specificity. What is needed is a straightforward method for quantifying its contributions to specificity. Using Bayesian statistics, we derived the probability of a particular sequence for a given DNA structure from the trajectories of molecular dynamics (MD) simulations of DNAs containing all possible tetramer sequences. Then, we quantified the specificity of indirect readout based on the information entropy associated with the probability. We tested this method with known structures of protein-DNA complexes. This method enabled us to correctly predict those regions where experiments suggested the involvement of indirect readout. The results also indicated new regions where the indirect readout mechanism makes major contributions to the recognition. The present method can be used to estimate the contribution of indirect readout without approximations to the distributions in the conformational ensembles of DNA, and would serve as a powerful tool to study the mechanism of protein-DNA recognition.     

Recognition of 5'-YpG-3' sequences by coupled stacking/hydrogen bonding interactions with amino acid residues

The combined biochemical and structural study of hundreds of protein-DNA complexes has indicated that sequence-specific interactions are mediated by two mechanisms termed direct and indirect readout. Direct readout involves direct interactions between the protein and base-specific atoms exposed in the major and minor grooves of DNA. For indirect readout, the protein recognizes DNA by sensing conformational variations in the structure dependent on nucleotide sequence, typically through interactions with the phosphodiester backbone. Based on our recent structure of Ndt80 bound to DNA in conjunction with a search of the existing PDB database, we propose a new method of sequence-specific recognition that utilizes both direct and indirect readout. In this mode, a single amino acid side-chain recognizes two consecutive base-pairs. The 3'-base is recognized by canonical direct readout, while the 5'-base is recognized through a variation of indirect readout, whereby the conformational flexibility of the particular dinucleotide step, namely a 5'-pyrimidine-purine-3' step, facilitates its recognition by the amino acid via cation-pi interactions. In most cases, this mode of DNA recognition helps explain the sequence specificity of the protein for its target DNA.     

Free energy contributions to direct readout of a DNA sequence

The energetic contributions of individual DNA-contacting side chains to specific DNA recognition in the human papillomavirus 16 E2C-DNA complex is small (less than 1.0 kcal mol(-1)), independent of the physical and chemical nature of the interaction, and is strictly additive. The sum of the individual contributions differs 1.0 kcal mol(-1) from the binding energy of the wild-type protein. This difference corresponds to the contribution from the deformability of the DNA, known as "indirect readout." Thus, we can dissect the energetic contribution to DNA binding into 90% direct and 10% indirect readout components. The lack of high energy interactions indicates the absence of "hot spots," such as those found in protein-protein interfaces. These results are compatible with a highly dynamic and "wet" protein-DNA interface, yet highly specific and tight, where individual interactions are constantly being formed and broken.     

Indirect readout in drug-DNA recognition: role of sequence-dependent DNA conformation

DNA-binding drugs have numerous applications in the engineered gene regulation. However, the drug-DNA recognition mechanism is poorly understood. Drugs can recognize specific DNA sequences not only through direct contacts but also indirectly through sequence-dependent conformation, in a similar manner to the indirect readout mechanism in protein-DNA recognition. We used a knowledge-based technique that takes advantage of known DNA structures to evaluate the conformational energies. We built a dataset of non-redundant free B-DNA crystal structures to calculate the distributions of adjacent base-step and base-pair conformations, and estimated the effective harmonic potentials of mean force (PMF). These PMFs were used to calculate the conformational energy of drug-DNA complexes, and the Z-score as a measure of the binding specificity. Comparing the Z-scores for drug-DNA complexes with those for free DNA structures with the same sequence, we observed that in several cases the Z-scores became more negative upon drug binding. Furthermore, the specificity is position-dependent within the drug-bound region of DNA. These results suggest that DNA conformation plays an important role in the drug-DNA recognition. The presented method provides a tool for the analysis of drug-DNA recognition and can facilitate the development of drugs for targeting a specific DNA sequence.     

Analyzing protein-DNA recognition mechanisms

We present a computational algorithm that can be used to analyze the generic mechanisms involved in protein-DNA recognition. Our approach is based on energy calculations for the full set of base sequences that can be threaded onto the DNA within a protein-DNA complex. It is able to reproduce experimental consensus binding sequences for a variety of DNA binding proteins and also correlates well with the order of measured binding free energies. These results suggest that the crystal structure of a protein-DNA complex can be used to identify all potential binding sequences. By analyzing the energy contributions that lead to base sequence selectivity, it is possible to quantify the concept of direct versus indirect recognition and to identify a new concept describing whether the protein-DNA interaction and DNA deformation terms select optimal binding sites by acting in accord or in disaccord.     

Influence of DNA stiffness in protein-DNA recognition

Protein-DNA recognition plays an essential role in the regulation of gene expression. The protein-DNA binding specificity is based on direct atomic contacts between protein and DNA and/or the conformational properties of DNA. In this work, we have analyzed the influence of DNA stiffness (E) to the specificity of protein-DNA complexes. The average DNA stiffness parameters for several protein-DNA complexes have been computed using the structure based sequence dependent stiffness scale. The relationship between DNA stiffness and experimental protein-DNA binding specificity has been brought out. We have investigated the importance of DNA stiffness with the aid of experimental free energy changes (DeltaDeltaG) due to binding in several protein-DNA complexes, such as, ETS proteins, 434, lambda, Mnt and trp repressors, 434 cro protein, EcoRV endonuclease V and zinc fingers. We found a correlation in the range 0.65-0.97 between DeltaDeltaG and E in these examples. Further, we have qualitatively analyzed the effect of mutations in the target sequence of lambda repressor and we observed that the DNA stiffness could correctly identify 70% of the correct bases among the considered nine positions.     

Alteration of sequence specificity of the type II restriction endonuclease HincII through an indirect readout mechanism

The functional and structural consequences of a mutation of the DNA intercalating residue of HincII, Q138F, are presented. Modeling has suggested that the DNA intercalation by Gln-138 results in DNA distortions potentially used by HincII in indirect readout of its cognate DNA, GTYRAC (Y = C or T, R = A or G) (Horton, N. C., Dorner, L. F., and Perona, J. J. (2002) Nat. Struct. Biol. 9, 42-47). Kinetic data presented here indicate that the mutation of glutamine 138 to phenylalanine (Q138F) results in a change in sequence specificity at the center two base pairs of the cognate recognition site. We show that the preference of HincII for cutting, but not binding, the three cognate sites differing in the center two base pairs has been altered by the mutation Q138F. Five new crystal structures are presented including Q138F HincII bound to GTTAAC and GTCGAC both with and without Ca2+ as well as the structure of wild type HincII bound to GTTAAC. The Q138F HincII/DNA structures show conformational changes in the protein, bound DNA, and at the protein-DNA interface, consistent with the formation of adaptive complexes. Analysis of these structures and the effect of Ca2+ binding on the protein-DNA interface illuminates the origin of the altered specificity by the mutation Q138F in the HincII enzyme.     

Protein-DNA docking with a coarse-grained force field

ABSTRACT: BACKGROUND: Protein-DNA interactions are important for many cellular processes, however structural knowledge for a large fraction of known and putative complexes is still lacking. Computational docking methods aim at the prediction of complex architecture given detailed structures of its constituents. They are becoming an increasingly important tool in the field of macromolecular assemblies, complementing particularly demanding protein-nucleic acids X ray crystallography and providing means for the refinement and integration of low resolution data coming from rapidly advancing methods such as cryoelectron microscopy. RESULTS: We present a new coarse-grained force field suitable for protein-DNA docking. The force field is an extension of previously developed parameter sets for protein-RNA and protein-protein interactions. The docking is based on potential energy minimization in translational and orientational degrees of freedom of the binding partners. It allows for fast and efficient systematic search for native-like complex geometry without any prior knowledge regarding binding site location. CONCLUSIONS: We find that the force field gives very good results for bound docking. The quality of predictions in the case of unbound docking varies, depending on the level of structural deviation from bound geometries. We analyze the role of specific protein-DNA interactions on force field performance, both with respect to complex structure prediction, and the reproduction of experimental binding affinities. We find that such direct, specific interactions only partially contribute to protein-DNA recognition, indicating an important role of shape complementarity and sequence-dependent DNA internal energy, in line with the concept of indirect protein-DNA readout mechanism.     

Solution measurement of DNA curvature in papillomavirus E2 binding sites

‘Indirect readout’ refers to the proposal that proteins can recognize the intrinsic three-dimensional shape or flexibility of a DNA binding sequence apart from direct protein contact with DNA base pairs. The differing affinities of human papillomavirus (HPV) E2 proteins for different E2 binding sites have been proposed to reflect indirect readout. DNA bending has been observed in X-ray structures of E2 protein–DNA complexes. X-ray structures of three different E2 DNA binding sites revealed differences in intrinsic curvature. DNA sites with intrinsic curvature in the direction of protein-induced bending were bound more tightly by E2 proteins, supporting the indirect readout model. We now report solution measurements of intrinsic DNA curvature for three E2 binding sites using a sensitive electrophoretic phasing assay. Measured E2 site curvature agrees well the predictions of a dinucleotide model and supports an indirect readout hypothesis for DNA recognition by HPV E2.     

Indirect DNA Readout on the Protein Side: Coupling between Histidine Protonation, Global Structural Cooperativity, Dynamics, and DNA Binding of the Human Papillomavirus Type 16 E2C Domain

DNA sequence recognition by the homodimeric C-terminal domain of the human papillomavirus type 16 E2 protein (E2C) is known to involve both direct readout and DNA-dependent indirect readout mechanisms, while protein-dependent indirect readout has been deduced but not directly observed. We have investigated coupling between specific DNA binding and the dynamics of the unusual E2C fold, using pH as an external variable. Nuclear magnetic resonance and isothermal titration calorimetry show that pH titration of His318 in the complex interface and His288 in the core of the domain is coupled to both binding and the dynamics of the β-barrel core of E2C, with a tradeoff between dimer stability and function. Specific DNA binding is, in turn, coupled to the slow dynamics and amide hydrogen exchange in the entire β-barrel, reaching residues far apart from the DNA recognition elements but not affecting the two helices of each monomer. The changes are largest in the dimerization interface, suggesting that the E2C β-barrel acts as a hinge that regulates the relative position of the DNA recognition helices. In conclusion, the cooperative dynamics of the human papillomavirus type 16 E2C β-barrel is coupled to sequence recognition in a protein-dependent indirect readout mechanism. The patterns of residue substitution in genital papillomaviruses support the importance of the protonation states of His288 and His318 and suggest that protein-dependent indirect readout and histidine pH titration may regulate DNA binding in the cell.     

The M.EcoRV DNA-(adenine N6)-methyltransferase uses DNA bending for recognition of an expanded EcoDam recognition site

The M.EcoRV DNA methyltransferase recognizes GATATC sites. It is related to EcoDam, which methylates GATC sites. The DNA binding domain of M.EcoRV is similar to that of EcoDam suggesting a similar mechanism of DNA recognition. We show that amino acid residue Lys11 of M.EcoRV is involved in recognition of Gua1 and Arg128 contacts the Gua in base pair 6. These residues correspond to Lys9 and Arg124 in EcoDam, which recognize the Gua residues in both strands of the Dam recognition sequence, indicating that M.EcoRV and EcoDam make similar contacts to outermost base pairs of their recognition sequences and M.EcoRV recognizes its target site as an expanded GATC site. In contrast to EcoDam, M.EcoRV considerably bends the DNA (59+/-4 degrees) suggesting indirect readout of the AT-rich inner sequence. Recognition of an expanded target site by DNA bending is a new principle for changing DNA recognition specificity of proteins during molecular evolution. R128A is inefficient in DNA bending and binding, whereas K11A bends DNA with relaxed sequence specificity. These results suggest a temporal order of the formation of protein-DNA contacts in which the Gua6-Arg128 contact forms early followed by DNA bending and, finally, the formation of the Lys11-Gua1 contact.     

A new analytical scale DNA affinity binding assay for analyses of specific protein-DNA interactions.

We describe a rapid analytical assay for identification of proteins binding to specific DNA sequences. The DAPSTER assay (DNA affinity preincubation specificity test of recognition assay) is a DNA affinity chromatography-based microassay that can discriminate between specific and nonspecific protein-DNA interactions. The assay is sensitive and can detect protein-DNA interactions and larger multicomponent complexes that can be missed by other analytical methods. Here we describe in detail the optimization and utilization of the DAPSTER assay to isolate AP-1 complexes and associated proteins in multimeric complexes bound to the AP-1 DNA element.     

Structural and energetic origins of indirect readout in site-specific DNA cleavage by a restriction endonuclease

Specific recognition by EcoRV endonuclease of its cognate, sharply bent GATATC site at the center TA step occurs solely via hydrophobic interaction with thymine methyl groups. Mechanistic kinetic analyses of base analog-substituted DNAs at this position reveal that direct readout provides 5 kcal mol(-1) toward specificity, with an additional 6-10 kcal mol(-1) arising from indirect readout. Crystal structures of several base analog complexes show that the major-groove hydrophobic contacts are crucial to forming required divalent metal-binding sites, and that indirect readout operates in part through the sequence-dependent free-energy cost of unstacking the center base-pair step of the DNA.     

DNA sequence and structure: direct and indirect recognition in protein-DNA binding

MOTIVATION: Direct recognition, or direct readout, of DNA bases by a DNA-binding protein involves amino acids that interact directly with features specific to each base. Experimental evidence also shows that in many cases the protein achieves partial sequence specificity by indirect recognition, i.e., by recognizing structural properties of the DNA. (1) Could threading a DNA sequence onto a crystal structure of bound DNA help explain the indirect recognition component of sequence specificity? (2) Might the resulting pure-structure computational motif manifest itself in familiar sequence-based computational motifs? RESULTS: The starting structure motif was a crystal structure of DNA bound to the integration host factor protein (IHF) of E. coli. IHF is known to exhibit both direct and indirect recognition of its binding sites. (1) Threading DNA sequences onto the crystal structure showed statistically significant partial separation of 60 IHF binding sites from random and intragenic sequences and was positively correlated with binding affinity. (2) The crystal structure was shown to be equivalent to a linear Markov network, and so, to a joint probability distribution over sequences, computable in linear time. It was transformed algorithmically into several common pure-sequence representations, including (a) small sets of short exact strings, (b) weight matrices, (c) consensus regular patterns, (d) multiple sequence alignments, and (e) phylogenetic trees. In all cases the pure-sequence motifs retained statistically significant partial separation of the IHF binding sites from random and intragenic sequences. Most exhibited positive correlation with binding affinity. The multiple alignment showed some conserved columns, and the phylogenetic tree partially mixed low-energy sequences with IHF binding sites but separated high-energy sequences. The conclusion is that deformation energy explains part of indirect recognition, which explains part of IHF sequence-specific binding.     

Signals for TBP/TATA box recognition

The TATA box-binding protein (TBP) recognizes its target sites (TATA boxes) by indirectly reading the DNA sequence through its conformation effects (indirect readout). Here, we explore the molecular mechanisms underlying indirect readout of TATA boxes by TBP by studying the binding of TBP to adenovirus major late promoter (AdMLP) sequence variants, including alterations inside as well as in the sequences flanking the TATA box. We measure here the dissociation kinetics of complexes of TBP with AdMLP targets and, by phase-sensitive assay, the intrinsic bending in the TATA box sequences as well as the bending of the same sequence induced by TBP binding. In these experiments we observe a correlation of the kinetic stability to sequence changes within the TATA recognition elements. Comparison of the kinetic data with structural properties of TATA boxes in known crystalline TBP/TATA box complexes reveals several "signals" for TATA box recognition, which are both on the single base-pair level, as well as larger DNA tracts within the TATA recognition element. The DNA bending induced by TBP on its binding sites is not correlated to the stability of TBP/TATA box complexes. Moreover, we observe a significant influence on the kinetic stability of alteration in the region flanking the TATA box. This effect is limited however to target sites with alternating TA sequences, whereas the AdMLP target, containing an A tract, is not influenced by these changes.