Use of a 3D structure data base for understanding sequence-dependent conformational aspects of DNA

Xeno Nucleic Acids as Functional Materials: From Biophysical Properties to Application

Xeno nucleic acid (XNA) are artificial nucleic acids, in which the chemical composition of the sugar moiety is changed. These modifications impart distinct physical and chemical properties to XNAs, leading to changes in their biological, chemical, and physical stability. Additionally, these alterations influence the binding dynamics of XNAs to their target molecules. Consequently, XNAs find expanded applications as functional materials in diverse fields. This review provides a comprehensive summary of the distinctive biophysical properties exhibited by various modified XNAs and explores their applications as innovative functional materials in expanded fields.

Transcription Factor Binding Affinities and DNA Shape Readout

An essential event in gene regulation is the binding of a transcription factor (TF) to its target DNA. Models considering the interactions between the TF and the DNA geometry proved to be successful approaches to describe this binding event, while conserving data interpretability. However, a direct characterization of the DNA shape contribution to binding is still missing due to the lack of accurate and large-scale binding affinity data. Here, we use a binding assay we recently established to measure with high sensitivity the binding specificities of 13 Drosophila TFs, including dinucleotide dependencies to capture non-independent amino acid-base interactions. Correlating the binding affinities with all DNA shape features, we find that shape readout is widely used by these factors. A shape readout/TF-DNA complex structure analysis validates our approach while providing biological insights such as positively charged or highly polar amino acids often contact nucleotides that exhibit strong shape readout.

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The DNA shape contribution to Drosophila TFs-DNA binding is directly characterized

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Zeroth- and first-order TF-DNA binding specificities are measured with high accuracy

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DNA shape readout is widely used by these TFs

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A shape readout/structural correlation analysis provides biological insights

Degradation and half-life of DNA present in biomass from a genetically-modified organism during land application

White biotechnology has made a positive impact on the chemical industry by providing safer, more efficient chemical manufacturing processes that have reduced the use of toxic chemicals, harsh reaction conditions, and expensive metal catalysts, which has improved alignment with the principles of Green Chemistry. The genetically-modified (GM) biocatalysts that are utilized in these processes are typically separated from high-value products and then recycled, or eliminated. Elimination routes include disposal in sanitary landfills, incineration, use as a fuel, animal feed, or reuse as an agricultural soil amendment or other value-added products. Elimination routes that have the potential to impact the food chain or environment have been more heavily scrutinized for the fate and persistence of biological products. In this study, we developed and optimized a method for monitoring the degradation of strain-specific DNA markers from a genetically-modified organism (GMO) used for the commercial production of 1,3-propanediol. Laboratory and field tests showed that a marker for heterologous DNA in the GM organism was no longer detectable by end-point polymerase chain reaction (PCR) after 14 days. The half-life of heterologous DNA was increased by 17% (from 42.4 to 49.7 h) after sterilization of the soil from a field plot, which indicated that abiotic factors were important in degradation of DNA under field conditions. There was no evidence for horizontal transfer of DNA target sequences from the GMO to viable organisms present in the soil.

DNA and RNA folds in transcription complex as evidenced by iodine-125 radioprobing

Abstract Folding of the DNA and RNA strands in an arrested T7 RNA polymerase (RNAP) transcription complex was studied by radioprobing, a novel method based on an analysis of the strand breaks produced by decay of the iodine-125 incorporated at the C5 position of cytosine. (125)I-labeled cytosines were incorporated into transcripts at different positions relative to the site of the arrest. The intensities of the DNA breaks inversely correlate with the distances from the (125)I decay site, so the radioprobing data provide information about the spatial RNA/DNA folding during transcription. We found that the yield of DNA strand breaks is significantly higher in the template than the non-template strand. This is consistent with local opening of the DNA duplex and formation of a hybrid between RNA and the template DNA strand. Our data demonstrate that the RNA-DNA hybrid has a nonuni form A-like structure. When the (125)I is incorporatedseven nucleotides from the active center of RNAP, the yield of strand breaks is substantially lower than if (125)I is positioned at the ends of the hybrid. Consequently, the DNA and RNA strands are located closer to each other at the ends of the hybrid and somehow separated in the middle. Surprisingly, the (125)I-induced breaks were detected in both DNA strands upstream from the transcription "bubble" indicating that DNA and RNA are closely associated outside the RNAP cleft. Thus, radioprobing data imply that the RNA/DNA fold in the complex with T7 RNAP is more complicated than had been anticipated by the existing models. Based on the present data, we suggest a sterically feasible model explaining how formation of the long RNA-DNA hybrid can result in the initiation-to-elongation switch in the T7 transcription complex. According to this model, the topological linkage between the DNA and RNA strands provides the necessary stability for the elongation complex, while permitting movement of the polymerase along the DNA duplex.

Sequence dependent variations in RNA duplex are related to non-canonical hydrogen bond interactions in dinucleotide steps

Background

Sequence determines the three-dimensional structure of RNAs, and thereby plays an important role in carrying out various biological functions. RNA duplexes containing Watson-Crick (WC) basepairs, interspersed with non-Watson-Crick basepairs, are the dominant structural unit and form the scaffold for the 3-dimensional structure of RNA. It is therefore crucial to understand the geometric variation in the dinucleotide steps that form the helices. We have carried out a detailed analysis of the dinucleotide steps formed by AU and GC Watson-Crick basepairs in RNA structures (both free and protein bound) and compared the results to that seen in DNA. Further, the effect of protein binding on these steps was examined by comparing steps in free RNA structures with protein bound RNA structures.

Results

Characteristic sequence dependent geometries are observed for the RR, RY and YR type of dinucleotide steps in RNA. Their geometric parameters show correlated variations that are different from those observed in B-DNA helices. Subtle, but statistically significant differences are seen in roll, slide and average propeller-twist values, between the dinucleotide steps of free RNA and protein bound RNA structures. Many non-canonical cross-strand and intra-strand hydrogen bonds were identified that can stabilise the RNA dinucleotide steps, among which YR steps show presence of many new unreported interactions.

Conclusions

Our work provides for the first time a detailed analysis of the conformational preferences exhibited by Watson-Crick basepair containing steps in RNA double helices. Overall, the WC dinucleotide steps show considerable conformational variability. Furthermore, we have identified hydrogen bond interactions in several of the dinucleotide steps that could play a role in determining the preferred geometry, in addition to the intra-basepair hydrogen bonds and stacking interactions. Protein binding affects the conformation of the steps that are in direct contact, as well as allosterically affect the steps that are not in direct physical contact.

Automatic workflow for the classification of local DNA conformations

Background

A growing number of crystal and NMR structures reveals a considerable structural polymorphism of DNA architecture going well beyond the usual image of a double helical molecule. DNA is highly variable with dinucleotide steps exhibiting a substantial flexibility in a sequence-dependent manner. An analysis of the conformational space of the DNA backbone and the enhancement of our understanding of the conformational dependencies in DNA are therefore important for full comprehension of DNA structural polymorphism.

Results

A detailed classification of local DNA conformations based on the technique of Fourier averaging was published in our previous work. However, this procedure requires a considerable amount of manual work. To overcome this limitation we developed an automatic classification method consisting of the combination of supervised and unsupervised approaches. A proposed workflow is composed of k-NN method followed by a non-hierarchical single-pass clustering algorithm. We applied this workflow to analyze 816 X-ray and 664 NMR DNA structures released till February 2013. We identified and annotated six new conformers, and we assigned four of these conformers to two structurally important DNA families: guanine quadruplexes and Holliday (four-way) junctions. We also compared populations of the assigned conformers in the dataset of X-ray and NMR structures.

Conclusions

In the present work we developed a machine learning workflow for the automatic classification of dinucleotide conformations. Dinucleotides with unassigned conformations can be either classified into one of already known 24 classes or they can be flagged as unclassifiable. The proposed machine learning workflow permits identification of new classes among so far unclassifiable data, and we identified and annotated six new conformations in the X-ray structures released since our previous analysis. The results illustrate the utility of machine learning approaches in the classification of local DNA conformations.

The DNA and RNA sugar-phosphate backbone emerges as the key player. An overview of quantum-chemical, structural biology and simulation studies

Knowledge of geometrical and physico-chemical properties of the sugar-phosphate backbone substantially contributes to the comprehension of the structural dynamics, function and evolution of nucleic acids. We provide a side by side overview of structural biology/bioinformatics, quantum chemical and molecular mechanical/simulation studies of the nucleic acids backbone. We highlight main features, advantages and limitations of these techniques, with a special emphasis given to their synergy. The present status of the research is then illustrated by selected examples which include classification of DNA and RNA backbone families, benchmark structure-energy quantum chemical calculations, parameterization of the dihedral space of simulation force fields, incorporation of arsenate into DNA, sugar-phosphate backbone self-cleavage in small RNA enzymes, and intricate geometries of the backbone in recurrent RNA building blocks. Although not apparent from the current literature showing limited overlaps between the QM, simulation and bioinformatics studies of the nucleic acids backbone, there in fact should be a major cooperative interaction between these three approaches in studies of the sugar-phosphate backbone.

The ABCs of molecular dynamics simulations on B-DNA, circa 2012

This article provides a retrospective on the ABC initiative in the area of all-atom molecular dynamics (MD) simulations including explicit solvent on all tetranucleotide steps of duplex B-form DNA duplex, ca. 2012. The ABC consortium has completed two phases of simulations, the most current being a set of 50-100 trajectories based on the AMBER ff99 force field together with the parmbsc0 modification. Some general perspectives on the field of MD on DNA and sequence effects on DNA structure are provided, followed by an overview our MD results, including a detailed comparison of the ff99/parmbsc0 results with crystal and NMR structures available for d(CGCGAATTCGCG). Some projects inspired by or related to the ABC initiative and database are also reviewed, including methods for the trajectory analyses, informatics of dealing with the large database of results, compressions of trajectories for efficacy of distribution, DNA solvation by water and ions, parameterization of coarse-grained models with applications and gene finding and genome annotation.

Can We Accurately Describe the Structure of Adenine Tracts in B-DNA? Reference Quantum-Chemical Computations Reveal Overstabilization of Stacking by Molecular Mechanics

Sequence-dependent local variations of helical parameters, structure, and flexibility are crucial for molecular recognition processes involving B-DNA. A-tracts, i.e., stretches of several consecutive adenines in one strand that are in phase with the DNA helical repeat, mediate significant DNA bending. During the past few decades, there have been intense efforts to understand the sequence dependence of helical parameters in DNA. Molecular dynamics (MD) simulations can provide valuable insights into the molecular mechanism behind the relationship between sequence and structure. However, although recent improvements in empirical force fields have helped to capture many sequence-dependent B-DNA properties, several problems remain, such as underestimation of the helical twist and suspected underestimation of the propeller twist in A-tracts. Here, we employ reference quantum mechanical (QM) calculations, explicit solvent MD, and bioinformatics to analyze the underestimation of propeller twisting of A-tracts in simulations. Although we did not identify a straightforward explanation, we discovered two imbalances in the empirical force fields. The first was overestimation of stacking interactions accompanied by underestimation of base-pairing energy, which we attribute to anisotropic polarizabilities that are not reflected by the isotropic force fields. This may lead to overstacking with potentially important consequences for MD simulations of nucleic acids. The second observed imbalance was steric clash between A(N1) and T(N3) nitrogens of AT base pairs in force-field descriptions, resulting in overestimation of the AT pair stretch in MD simulations. We also substantially extend the available set of benchmark estimated CCSD(T)/CBS data for B-DNA base stacking and provide a code that allows the generation of diverse base-stacking geometries suitable for QM computations with predefined intra- and interbase pair parameters.

Quantum chemical studies of nucleic acids: can we construct a bridge to the RNA structural biology and bioinformatics communities?

In this feature article, we provide a side-by-side introduction for two research fields: quantum chemical calculations of molecular interaction in nucleic acids and RNA structural bioinformatics. Our main aim is to demonstrate that these research areas, while largely separated in contemporary literature, have substantial potential to complement each other that could significantly contribute to our understanding of the exciting world of nucleic acids. We identify research questions amenable to the combined application of modern ab initio methods and bioinformatics analysis of experimental structures while also assessing the limitations of these approaches. The ultimate aim is to attain valuable physicochemical insights regarding the nature of the fundamental molecular interactions and how they shape RNA structures, dynamics, function, and evolution.

Topoisomerase I-mediated DNA relaxation as a tool to study intercalation of small molecules into supercoiled DNA

Several biochemical and biophysical methods are available to study the intercalation of a small molecule between two consecutive base pairs of DNA. Among them, the topoisomerase I-mediated DNA relaxation assay has proved highly efficient, relatively easy to handle and very informative to investigate drug binding to DNA. The test relies on the use of a supercoiled plasmid to mimic the topological constraints of genomic DNA. The three main components of the assay - the topoisomerase I enzyme, DNA helix and intercalating small molecules - are presented here in a structural context. The principle of the assay is described in detail, along with a typical experimental protocol.

Nature and magnitude of aromatic stacking of nucleic acid bases

This review summarises recent advances in quantum chemical calculations of base-stacking forces in nucleic acids. We explain in detail the very complex relationship between the gas-phase base-stacking energies, as revealed by quantum chemical (QM) calculations, and the highly variable roles of these interactions in nucleic acids. This issue is rarely discussed in quantum chemical and physical chemistry literature. We further extensively discuss methods that are available for base-stacking studies, complexity of comparison of stacking calculations with gas phase experiments, balance of forces in stacked complexes of nucleic acid bases, and the relation between QM and force field descriptions. We also review all recent calculations on base-stacking systems, including details analysis of the B-DNA stacking. Specific attention is paid to the highest accuracy QM calculations, to the decomposition of the interactions, and development of dispersion-balanced DFT methods. Future prospects of computational studies of base stacking are discussed.

Density functional theory with dispersion corrections for supramolecular structures, aggregates, and complexes of (bio)organic molecules

Kohn-Sham density functional theory (KS-DFT) is nowadays the most widely used quantum chemical method for electronic structure calculations in chemistry and physics. Its further application in e.g. supramolecular chemistry or biochemistry has mainly been hampered by the inability of almost all current density functionals to describe the ubiquitous attractive long-range van der Waals (dispersion) interactions. We review here methods to overcome this defect, and describe in detail a very successful correction that is based on damped -C(6).R(-6) potentials (DFT-D). As examples we consider the non-covalent inter- and intra-molecular interactions in unsaturated organic molecules (so-called pi-pi stacking in benzenes and dyes), in biologically relevant systems (nucleic acid bases/pairs, proteins, and 'folding' models), between fluorinated molecules, between curved aromatics (corannulene and carbon nanotubes) and small molecules, and for the encapsulation of methane in water clusters. In selected cases we partition the interaction energies into the most relevant contributions from exchange-repulsion, electrostatics, and dispersion in order to provide qualitative insight into the binding character.

Cheminformatics methods for novel nanopore analysis of HIV DNA termini

BACKGROUND

Channel current feature extraction methods, using Hidden Markov Models (HMMs) have been designed for tracking individual-molecule conformational changes. This information is derived from observation of changes in ionic channel current blockade "signal" upon that molecule's interaction with (and occlusion of) a single nanometer-scale channel in a "nanopore detector". In effect, a nanopore detector transduces single molecule events into channel current blockades. HMM analysis tools described are used to help systematically explore DNA dinucleotide flexibility, with particular focus on HIV's highly conserved (and highly flexible/reactive) viral DNA termini. One of the most critical stages in HIV's attack is the binding between viral DNA and the retroviral integrase, which is influenced by the dynamic-coupling induced high flexibility of a CA/TG dinucleotide positioned precisely two base-pairs from the blunt terminus of the duplex viral DNA. This suggests the study of a family of such CA/TG dinucleotide molecules via nanopore measurement and cheminformatics analysis.

RESULTS

HMMs are used for level identification on the current blockades, HMM/EM with boosted variance emissions are used for level projection pre-processing, and time-domain FSAs are used to parse the level-projected waveform for kinetic information. The observed state kinetics of the DNA hairpins containing the CA/TG dinucleotide provides clear evidence for HIV's selection of a peculiarly flexible/interactive DNA terminus.

Information-driven protein-DNA docking using HADDOCK: it is a matter of flexibility

Intrinsic flexibility of DNA has hampered the development of efficient protein−DNA docking methods. In this study we extend HADDOCK (High Ambiguity Driven DOCKing) [C. Dominguez, R. Boelens and A. M. J. J. Bonvin (2003) J. Am. Chem. Soc.125, 1731–1737] to explicitly deal with DNA flexibility. HADDOCK uses non-structural experimental data to drive the docking during a rigid-body energy minimization, and semi-flexible and water refinement stages. The latter allow for flexibility of all DNA nucleotides and the residues of the protein at the predicted interface. We evaluated our approach on the monomeric repressor−DNA complexes formed by bacteriophage 434 Cro, the Escherichia coli Lac headpiece and bacteriophage P22 Arc. Starting from unbound proteins and canonical B-DNA we correctly predict the correct spatial disposition of the complexes and the specific conformation of the DNA in the published complexes. This information is subsequently used to generate a library of pre-bent and twisted DNA structures that served as input for a second docking round. The resulting top ranking solutions exhibit high similarity to the published complexes in terms of root mean square deviations, intermolecular contacts and DNA conformation. Our two-stage docking method is thus able to successfully predict protein−DNA complexes from unbound constituents using non-structural experimental data to drive the docking.

Nature of base stacking: reference quantum-chemical stacking energies in ten unique B-DNA base-pair steps

Base-stacking energies in ten unique B-DNA base-pair steps and some other arrangements were evaluated by the second-order Møller-Plesset (MP2) method, complete basis set (CBS) extrapolation, and correction for triple (T) electron-correlation contributions. The CBS(T) calculations were compared with decade-old MP2/6-31G*(0.25) reference data and AMBER force field. The new calculations show modest increases in stacking stabilization compared to the MP2/6-31G*(0.25) data and surprisingly large sequence-dependent variation of stacking energies. The absolute force-field values are in better agreement with the new reference data, while relative discrepancies between quantum-chemical (QM) and force-field values increase modestly. Nevertheless, the force field provides good qualitative description of stacking, and there is no need to introduce additional pair-additive electrostatic terms, such as distributed multipoles or out-of-plane charges. There is a rather surprising difference of about 0.1 A between the vertical separation of base pairs predicted by quantum chemistry and derived from crystal structures. Evaluations of different local arrangements of the 5'-CG-3' step indicate a sensitivity of the relative stacking energies to the level of calculation. Thus, describing quantitative relations between local DNA geometrical variations and stacking may be more complicated than usually assumed. The reference calculations are complemented by continuum-solvent assessment of solvent-screening effects.

Principal component analysis of DNA oligonucleotide structural data

The microstructure of a DNA helix is characterized by several base pair and base step parameters such as twist, rise, roll, propeller twist, etc., in addition to conformational parameters such as the backbone and the glycosidic torsion angles. Among these only a few, which are independent of all others and of each other, may be used to precisely characterize the helix. The problem however is to identify these independent parameters. We have used principal component analysis to identify a relatively small set of independent parameters, with which to characterize each DNA helix. We show that these principal components clearly discriminate between A and B DNA helical types. The calculations further suggest that the microstructure of a DNA helix is better characterized using dinucleotides.

Influence of the pi-pi interaction on the hydrogen bonding capacity of stacked DNA/RNA bases

The interplay between aromatic stacking and hydrogen bonding in nucleobases has been investigated via high-level quantum chemical calculations. The experimentally observed stacking arrangement between consecutive bases in DNA and RNA/DNA double helices is shown to enhance their hydrogen bonding ability as opposed to gas phase optimized complexes. This phenomenon results from more repulsive electrostatic interactions as is demonstrated in a model system of cytosine stacked offset-parallel with substituted benzenes. Therefore, the H-bonding capacity of the N3 and O2 atoms of cytosine increases linearly with the electrostatic repulsion between the stacked rings. The local hardness, a density functional theory-based reactivity descriptor, appears to be a key index associated with the molecular electrostatic potential (MEP) minima around H-bond accepting atoms, and is inversely proportional to the electrostatic interaction between stacked molecules. Finally, the MEP minima on surfaces around the bases in experimental structures of DNA and RNA-DNA double helices show that their hydrogen bonding capacity increases when taking more neighboring (intra-strand) stacking partners into account.

Molecular dynamics simulations of the 136 unique tetranucleotide sequences of DNA oligonucleotides. I. Research design and results on d(CpG) steps

We describe herein a computationally intensive project aimed at carrying out molecular dynamics (MD) simulations including water and counterions on B-DNA oligomers containing all 136 unique tetranucleotide base sequences. This initiative was undertaken by an international collaborative effort involving nine research groups, the "Ascona B-DNA Consortium" (ABC). Calculations were carried out on the 136 cases imbedded in 39 DNA oligomers with repeating tetranucleotide sequences, capped on both ends by GC pairs and each having a total length of 15 nucleotide pairs. All MD simulations were carried out using a well-defined protocol, the AMBER suite of programs, and the parm94 force field. Phase I of the ABC project involves a total of approximately 0.6 mus of simulation for systems containing approximately 24,000 atoms. The resulting trajectories involve 600,000 coordinate sets and represent approximately 400 gigabytes of data. In this article, the research design, details of the simulation protocol, informatics issues, and the organization of the results into a web-accessible database are described. Preliminary results from 15-ns MD trajectories are presented for the d(CpG) step in its 10 unique sequence contexts, and issues of stability and convergence, the extent of quasiergodic problems, and the possibility of long-lived conformational substates are discussed.

SITECON: a tool for detecting conservative conformational and physicochemical properties in transcription factor binding site alignments and for site recognition

The local DNA conformation in the region of transcription factor binding sites, determined by context, is one of the factors underlying the specificity of DNA-protein interactions. Analysis of the local conformation of a set of functional DNA sequences may allow for determination of the conservative conformational and physicochemical parameters reflecting molecular mechanisms of interaction. The web resource SITECON is designed to detect conservative conformational and physicochemical properties in transcription factor binding sites, contains a knowledge base of conservative properties for >100 high-quality sample sites and allows for recognition of potential transcription factor binding sites based on conservative properties from both the knowledge base and the results of analysis of a sample proposed by a user. The resource SITECON is available at http://wwwmgs.bionet.nsc.ru/mgs/programs/sitecon/.

Molecular dynamics simulations of papilloma virus E2 DNA sequences: dynamical models for oligonucleotide structures in solution

The specificity of papilloma virus E2 protein-DNA binding depends critically upon the sequence of a region of the DNA not in direct contact with the protein, and represents one of the simplest known examples of indirect readout. A detailed characterization of this system in solution is important to the further investigation hypothesis of a structural code for DNA recognition by regulatory proteins. In the crystalline state, the E2 DNA oligonucleotide sequence, d(ACCGAATTCGGT), exhibits three different structural forms. We report herein studies of the structure of E2 DNA in solution based on a series of molecular dynamics (MD) simulations including counterions and water, utilizing both the canonical and various crystallographic structures as initial points of departure. All MDs converged on a single dynamical structure of d(ACCGAATTCGGT) in solution. The predicted structure is in close accord with two of the three crystal structures, and indicates that a significant kink in the double helix at the central ApT step in the other crystal molecule may be a packing effect. The dynamical fine structure was analyzed on the basis of helicoidal parameters. The calculated curvature in the sequence was found to originate primarily from YPR steps in the regions flanking the central AATT tract. In order to study the role of structural adaptation of the DNA in the binding process, a subsequent simulation on the 16-mer cognate sequence d(CAACCGAATTCGGTTG) was initiated from the crystallographic coordinates of the bound DNA in the crystal structure of the protein DNA complex. MD simulations starting with the protein-bound form relaxed rapidly back to the dynamical structure predicted from the previous simulations on the uncomplexed DNA. The MD results show that the bound form E2 DNA is a dynamically unstable structure in the absence of protein, and arises as a consequence of both structural changes intrinsic to the sequence and induced by the interaction with protein.

Molecular dynamics simulations of DNA curvature and flexibility: helix phasing and premelting

Recent studies of DNA axis curvature and flexibility based on molecular dynamics (MD) simulations on DNA are reviewed. The MD simulations are on DNA sequences up to 25 base pairs in length, including explicit consideration of counterions and waters in the computational model. MD studies are described for ApA steps, A-tracts, for sequences of A-tracts with helix phasing. In MD modeling, ApA steps and A-tracts in aqueous solution are essentially straight, relatively rigid, and exhibit the characteristic features associated with the B'-form of DNA. The results of MD modeling of A-tract oligonucleotides are validated by close accord with corresponding crystal structure results and nuclear magnetic resonance (NMR) nuclear Overhauser effect (NOE) and residual dipolar coupling (RDC) structures of d(CGCGAATTCGCG) and d(GGCAAAAAACGG). MD simulation successfully accounts for enhanced axis curvature in a set of three sequences with phased A-tracts studied to date. The primary origin of the axis curvature in the MD model is found at those pyrimidine/purine YpR "flexible hinge points" in a high roll, open hinge conformational substate. In the MD model of axis curvature in a DNA sequence with both phased A-tracts and YpR steps, the A-tracts appear to act as positioning elements that make the helix phasing more precise, and key YpR steps in the open hinge state serve as curvature elements. Our simulations on a phased A-tract sequence as a function of temperature show that the MD simulations exhibit a premelting transition in close accord with experiment, and predict that the mechanism involves a B'-to-B transition within A-tracts coupled with the prediction of a transition in key YpR steps from the high roll, open hinge, to a low roll, closed hinge substate. Diverse experimental observations on DNA curvature phenomena are examined in light of the MD model with no serious discrepancies. The collected MD results provide independent support for the "non-A-tract model" of DNA curvature. The "junction model" is indicated to be a special case of the non-A-tract model when there is a Y base at the 5' end of an A-tract. In accord with crystallography, the "ApA wedge model" is not supported by MD.

High-level ab initio computations of structures and interaction energies of naphthalene dimers: Origin of attraction and its directionality

The intermolecular interaction energies of naphthalene dimers have been calculated by using an aromatic intermolecular interaction model (a model chemistry for the evaluation of intermolecular interactions between aromatic molecules). The CCSD(T) (coupled cluster calculations with single and double substitutions with noniterative triple excitations) interaction energy at the basis set limit has been estimated from the second-order Møller-Plesset perturbation interaction energy near saturation and the CCSD(T) correction term obtained using a medium-size basis set. The estimated interaction energies of the set of geometries explored in this work show that two structures emerge as being the lowest energy, and may effectively be considered as isoenergetic on the basis of the errors inherent in out extrapolation procedure. These structures are the slipped-parallel (Ci) structure (-5.73 kcal/mol) and the cross (D2d) structure (-5.28 kcal/mol). The T-shaped (C2v) and sandwich (D2h) dimers are substantially less stable (-4.34 and -3.78 kcal/mol, respectively). The dispersion interaction is found to be the major source of attraction in the naphthalene dimer. The electrostatic interaction is substantially smaller than the dispersion interaction. The large dispersion interaction is the cause of the large binding energies of the cross and slipped-parallel dimers.

Conformational characteristics and correlations in crystal structures of nucleic acid oligonucleotides: evidence for sub-states

Sugar phosphate backbone conformations are a structural element inextricably involved in a complete understanding of specific recognition nucleic acid ligand interactions, from early stage discrimination of the correct target to complexation per se, including any structural adaptation on binding. The collective results of high resolution DNA, RNA and protein/DNA crystal structures provide an opportunity for an improved and enhanced statistical analysis of standard and unusual sugar-phosphate backbone conformations together with corresponding dinucleotide sequence effects as a basis for further exploration of conformational effects on binding. In this study, we have analyzed the conformations of all relevant crystal structures in the nucleic acids data base, determined the frequency distribution of all possible epsilon, zeta, alpha, beta and gamma backbone angle arrangements within four nucleic acid categories (A-RNA and A-DNA, free and bound B-DNA) and explored the relationships between backbone angles, sugar puckers and selected helical parameters. The trends in the correlations are found to be similar regardless of the nucleic acid category. It is interesting that specific structural effects exhibited by the different unusual backbone sub-states are in some cases contravariant. Certain alpha/gamma changes are accompanied by C3' endo (north) sugars, small twist angles and positive values of base pair roll, and favor a displacement of nucleotide bases towards the minor groove compared to that of canonical B form structures. Unusual epsilon/zeta combinations occur with C2' (south) sugars, high twist angles, negative values of base pair roll, and base displacements towards the major groove. Furthermore, any unusual backbone correlates with a reduced dispersion of equilibrium structural parameters of the whole double helix, as evidenced by the reduced standard deviations of almost all conformational parameters. Finally, a strong sequence effect is displayed in the free oligomers, but reduced somewhat in the ligand bound forms. The most variable steps are GpA and CpA, and, to a lesser extent, their partners TpC and TpG. The results provide a basis for considering if the variable and non-variable steps within a biological active sequence precisely determine morphological structural features as the curvature direction, the groove depth, and the accessibility of base pair for non covalent associations.

A unified model for the origin of DNA sequence-directed curvature

The fine structure of the DNA double helix and a number of its physical properties depend upon nucleotide sequence. This includes minor groove width, the propensity to undergo the B-form to A-form transition, sequence-directed curvature, and cation localization. Despite the multitude of studies conducted on DNA, it is still difficult to appreciate how these fundamental properties are linked to each other at the level of nucleotide sequence. We demonstrate that several sequence-dependent properties of DNA can be attributed, at least in part, to the sequence-specific localization of cations in the major and minor grooves. We also show that effects of cation localization on DNA structure are easier to understand if we divide all DNA sequences into three principal groups: A-tracts, G-tracts, and generic DNA. The A-tract group of sequences has a peculiar helical structure (i.e., B*-form) with an unusually narrow minor groove and high base-pair propeller twist. Both experimental and theoretical studies have provided evidence that the B*-form helical structure of A-tracts requires cations to be localized in the minor groove. G-tracts, on the other hand, have a propensity to undergo the B-form to A-form transition with increasing ionic strength. This property of G-tracts is directly connected to the observation that cations are preferentially localized in the major groove of G-tract sequences. Generic DNA, which represents the vast majority of DNA sequences, has a more balanced occupation of the major and minor grooves by cations than A-tracts or G-tracts and is thereby stabilized in the canonical B-form helix. Thus, DNA secondary structure can be viewed as a tug of war between the major and minor grooves for cations, with A-tracts and G-tracts each having one groove that dominates the other for cation localization. Finally, the sequence-directed curvature caused by A-tracts and G-tracts can, in both cases, be explained by the cation-dependent mismatch of A-tract and G-tract helical structures with the canonical B-form helix of generic DNA (i.e., a cation-dependent junction model).

Toward true DNA base-stacking energies: MP2, CCSD(T), and complete basis set calculations

Stacking energies in low-energy geometries of pyrimidine, uracil, cytosine, and guanine homodimers were determined by the MP2 and CCSD(T) calculations utilizing a wide range of split-valence, correlation-consistent, and bond-functions basis sets. Complete basis set MP2 (CBS MP2) stacking energies extrapolated using aug-cc-pVXZ (X = D, T, and for pyrimidine dimer Q) basis sets equal to -5.3, -12.3, and -11.2 kcal/mol for the first three dimers, respectively. Higher-order correlation corrections estimated as the difference between MP2 and CCSD(T) stacking energies amount to 2.0, 0.7, and 0.9 kcal/mol and lead to final estimates of the genuine stacking energies for the three dimers of -3.4, -11.6, and -10.4 kcal/mol. The CBS MP2 stacking-energy estimate for guanine dimer (-14.8 kcal/mol) was based on the 6-31G(0.25) and aug-cc-pVDZ calculations. This simplified extrapolation can be routinely used with a meaningful accuracy around 1 kcal/mol for large aromatic stacking clusters. The final estimate of the guanine stacking energy after the CCSD(T) correction amounts to -12.9 kcal/mol. The MP2/6-31G(0.25) method previously used as the standard level to calculate aromatic stacking in hundreds of geometries of nucleobase dimers systematically underestimates the base stacking by ca. 1.0-2.5 kcal/mol per stacked dimer, covering 75-90% of the intermolecular correlation stabilization. We suggest that this correction is to be considered in calibration of force fields and other cheaper computational methods. The quality of the MP2/6-31G(0.25) predictions is nevertheless considerably better than suggested on the basis of monomer polarizability calculations. Fast and very accurate estimates of the MP2 aromatic stacking energies can be achieved using the RI-MP2 method. The CBS MP2 calculations and the CCSD(T) correction, when taken together, bring only marginal changes to the relative stability of H-bonded and stacked base pairs, with a slight shift of ca. 1 kcal/mol in favor of H-bonding. We suggest that the present values are very close to ultimate predictions of the strength of aromatic base stacking of DNA and RNA bases.

Molecular dynamics simulations of B '-DNA: sequence effects on A-tract-induced bending and flexibility

Molecular dynamics (MD) simulations including water and counterions are reported on five examples of A-tract DNA oligonucleotide dodecamer duplexes for which crystal structures are available, the homopolymeric duplex sequences poly(dA) and poly(dG), and two related sequences that serve as controls. MD was performed using the AMBER suite of programs for 3 ns on each sequence. These results, combined with previously reported MDs on 25-mer and 30-mer oligonucleotides on sequences with phased A-tracts carried out under a similar simulation protocol, are used to examine salient issues in the structural chemistry of ApA steps and A-tract induced axis bending. MD modeling successfully describes the distinctive B' structure of A-tracts in solution as essentially straight (wedge angles of <1 degrees ), more rigid than generic B-form DNA, with slight base-pair inclination, high propeller twist and a minor groove narrowing 5' to 3'. The MD structures in solution agree closely with corresponding crystal structures, supporting the idea that crystal structures provide a good model for A-tract DNA structure in solution. From the collective MD results, bending and flexibility are calculated by step. Pyrimidine-purine steps are predicted to be most intrinsically bent and also most bendable, i.e. susceptible to bending. Pyrimidine-pyrimidine ( approximately purine-purine) and purine-pyrimidine steps show less intrinsic deformation and deformability. The MD calculated flexibility correlates well with the protein-induced bendability derived independently from the protein DNA crystal structures. The MD results indicate that bending and flexibility of base-pair steps in DNA are highly correlated, i.e. steps that exhibit the most intrinsic deformation from B-form DNA turn are also the most dynamically deformable. The MD description of A-tract-induced axis bending shows most consistency with the non A-tract, general-sequence model, in which the sequence curvature originates primarily in base-pair roll towards the major groove in non-A-tract regions of the sequence, particularly pyrimidine-purine steps. The direction of curvature is towards the minor groove viewed from opposite the A-tracts, but the A-tracts per se exhibit only minor deformation. The MD results are found to be consistent with the directionality of bending inferred for DNA sequences from gel retardation and cyclization experiments.

DNA deformability as a recognition feature in the reverb response element

Most nuclear receptors recognize the same consensus hexameric sequence, AGGTCA. An important question has been how the various members of this transcription factor family distinguish identity features in these closely related DNA sites. We determined structures from several crystal forms of the RevErb-DNA complex and analyzed the patterns of protein-DNA interactions and DNA distortions. We found a significant and consistent DNA distortion at a TA step directly preceding the first consensus 5'-AGGTCA-3' recognition sequence. Importantly, while this base-pair sequence is associated with RevErb's high-affinity sites, there are no sequence-specific contacts formed with the protein. Our study shows that RevErb relies instead on the intrinsic geometry and flexibility of this TA site to make the required fit between the proteins' independent major groove and minor groove binding interactions, which occur on both sides of the TA step. Our findings extend the description of response element discrimination to include a role for sequence-dependent DNA deformations and suggest how other monomeric members of this superfamily, such as NGFI-B, SF-1, and ROR, could also recognize unique geometric features in their DNA targets.

Solution structure of the dodecamer d-(CATGGGCC-CATG)2 is B-DNA. Experimental and molecular dynamics study

The DNA duplex d-(CATGGGCCCATG)2 has been studied in solution by FTIR, NMR and CD. The experimental approaches have been complemented by series of large-scale unrestrained molecular dynamics simulation with explicit inclusion of solvent and counterions. Typical proton-proton distances extracted from the NMR spectra and the CD spectra are completely in agreement with slightly modified B-DNA. By molecular dynamics simulation, starting from A-type sugar pucker, a spontaneous repuckering to B-type sugar pucker was observed. Both experimental and theoretical approaches suggest for the dodecamer d-(CATGGGCCCATG)2 under solution conditions puckering of all 2'-deoxyribose residues in the south conformation (mostly C2'-endo) and can exclude significant population of sugars in the north conformation (C3'-endo). NMR, FTIR and CD data are in agreement with a B-form of the dodecamer in solution. Furthermore, the duplex shows a cooperative B-A transition in solution induced by addition of trifluorethanol. This contrasts a recently published crystal structure of the same oligonucleotide found as an intermediate between B- and A-DNA where 23 out of 24 sugar residues were reported to adopt the north (N-type) conformation (C3'-endo) like in A-DNA (Ng, H. L., Kopka, M. L. and Dickerson, R. E., Proc. Natl. Acad. Sci. U S A 97, 2035-2039 (2000)). The simulated structures resemble standard B-DNA. They nevertheless show a moderate shift towards A-type stacking similar to that seen in the crystal, despite the striking difference in sugar puckers between the MD and X-ray structures. This is in agreement with preceding MD reports noticing special stacking features of G-tracts exhibiting a tendency towards the A-type stacking supported by the CD spectra also reflecting the G-tract stacking. MD simulations reveal several noticeable local conformational variations, such as redistribution of helical twist and base pair roll between the central GpC steps and the adjacent G-tract segments, as well as a substantial helical twist variability in the CpA(TpG) steps combined with a large positive base pair roll. These local variations are rather different from those seen in the crystal.

Sequence-structure relationships in DNA oligomers: a computational approach

A collective-variable model for DNA structure is used to predict the conformation of a set of 30 octamer, decamer, and dodecamer oligomers for which high-resolution crystal structures are available. The model combines an all-atom base pair representation with an empirical backbone, emphasizing the role of base stacking in fixing sequence-dependent structure. We are able to reproduce trends in roll and twist to within 5 degrees across a large database of both A- and B-DNA oligomers. A genetic algorithm approach is used to search for global minimum structures and this is augmented by a grid search to identify local minimums. We find that the number of local minimums is highly sequence dependent, with certain sequences having a set of minimums that span the entire range between canonical A- and B-DNA conformations. Although the global minimum does not always agree with the crystal structure, for 24 of the 30 oligomers, we find low-energy local minimums that match the experimental step parameters. Discrepancies throw some light on the role of crystal packing in determining the solid-state conformation of double-helical DNA.

Dynamic simulations of 13 TATA variants refine kinetic hypotheses of sequence/activity relationships 1 1Edited by B. Honig

The fundamental relationship between DNA sequence/deformability and biological function has attracted numerous experimental and theoretical studies. A classic prototype system used for such studies in eukaryotes is the complex between the TATA element transcriptional regulator and the TATA-box binding protein (TBP). The recent crystallographic study by Burley and co-workers demonstrated the remarkable structural similarity contrasted to different transcriptional activity of 11 TBP/DNA complexes in which the DNAs differed by single base-pairs. By simulating these TATA variants and two other single base-pair variants that were not crystallizable, we uncover sequence-dependent structural, energetic, and flexibility properties that tailor TATA elements to TBP interactions, complementing many previous studies by refining kinetic hypotheses on sequence/activity correlations. The factors that combine to produce favorable elements for TBP activity include overall flexibility; minor groove widening, as well as roll, rise, and shift increases at the ends of the TATA element; untwisting within the TATA element accompanied by large roll at the TATA element ends; and relatively low maximal water densities around the DNA. These features accompany the severe deformation induced by the minor-groove binding protein, which kinks the TATA element at the ends and displaces local water molecules to form stabilizing hydrophobic contacts. Interestingly, the preferred bending direction itself is not a significant predictor of activity disposition, although certain variants (such as wild-type AdMLP, 5'-TATA4G-3', and inactive A29, 5'-TA6G-3') exhibit large preferred bends in directions consistent with their activity or inactivity (major groove and minor groove bends, respectively). These structural, flexibility, and hydration preferences, identified here and connected to a new crystallographic study of a larger group of DNA variants than reported to date, highlight the profound influence of single base-pair DNA variations on DNA motion. Our refined kinetic hypothesis suggests the functional implications of these motions in a kinetic model of TATA/TBP recognition, inviting further theoretical and experimental research.

A refined prediction method for gel retardation of DNA oligonucleotides from dinucleotide step parameters: reconciliation of DNA bending models with crystal structure data

The development and assessment of a prediction method for gel retardation and sequence dependent curvature of DNA based on dinulcleotide step parameters are described. The method is formulated using the Babcock-Olson equations for base pair step geometry (1) and employs Monte Carlo simulated annealing for parameter optimization against experimental data. The refined base pair step parameters define a stuctural construct which, when the width of observed parameter distributions is taken into account, is consistent with the results of DNA oligonucleotide crystal structures. The predictive power of the method is demonstrated and tested via comparisons with DNA bending data on sets of sequences not included in the training set, including A-tracts with and without periodic helix phasing, phased A4T4 and T4A4 motifs, a sequence with a phased GGGCCC motif, some "unconventional" helix phasing sequences, and three short fragments of kinetoplast DNA from Crithidia fasiculata that exhibit significantly different behavior on non-denaturing polyacrylamide gels. The nature of the structural construct produced by the methodology is discussed with respect to static and dynamic models of structure and representations of bending and bendability. An independent theoretical account of sequence dependent chemical footprinting results is provided. Detailed analysis of sequences with A-tract induced axis bending forms the basis for a critical discussion of the applicability of wedge models,junction models and non A-tract, general sequence models for understanding the origin of DNA curvature at the molecular level.

In vitro and in vivo ligation-mediated polymerase chain reaction analysis of a polypurine/polypyrimidine sequence upstream of the mouse metallothionein-I gene

The mouse metallothionein-I homopurine/homopyrimidine (MT-I R/Y) sequence is a 128-base pair element located approximately 1.2 kilobase pairs upstream of the MT-I gene. Previous in vitro studies of this sequence in purified plasmids indicated the formation of a non-B DNA structure stabilized by acidic pH and negative supercoiling. We now present a detailed in vitro and in vivo analysis of the MT-I R/Y sequence using chemical probes of DNA structure and ligation-mediated polymerase chain reaction. In vivo analysis suggests neither profound base unpairing nor protein binding within the MT-I R/Y sequence before or after metal induction of MT-I. We conclude for this element that the propensity to adopt an unusual DNA structure in vitro does not imply the occurrence of such a structure in vivo. We were able to show both in purified genomic DNA and in vivo that only isolated thymines and the 3' terminal thymine in strings of consecutive thymines are modified significantly by KMnO(4), indicating an altered thymine accessibility pattern within the R/Y sequence. This KMnO(4) reactivity pattern is more consistent and predictable within the R/Y sequence when compared with flanking sequences. We propose a simple steric interference model to explain the observed pattern of KMnO(4) modification of thymines.

Archaeal adaptation to higher temperatures revealed by genomic sequence of Thermoplasma volcanium

The complete genomic sequence of the archaeon Thermoplasma volcanium, possessing optimum growth temperature (OGT) of 60 degrees C, is reported. By systematically comparing this genomic sequence with the other known genomic sequences of archaea, all possessing higher OGT, a number of strong correlations have been identified between characteristics of genomic organization and the OGT. With increasing OGT, in the genomic DNA, frequency of clustering purines and pyrimidines into separate dinucleotides rises (e.g., by often forming AA and TT, whereas avoiding TA and AT). Proteins coded in a genome are divided into two distinct subpopulations possessing isoelectric points in different ranges (i.e., acidic and basic), and with increasing OGT the size of the basic subpopulation becomes larger. At the metabolic level, genes coding for enzymes mediating pathways for synthesizing some coenzymes, such as heme, start missing. These findings provide insights into the design of individual genomic components, as well as principles for coordinating changes in these designs for the adaptation to new environments.

DNA structure: what's in charge?

DNA structure is well known to be sensitive to hydration and ionic strength. Recent theoretical predictions and experimental observations have raised the idea of the intrusion of monovalent cations into the minor groove spine of hydration in B-form DNA. To investigate this further, extensions and further analysis of molecular dynamics (MD) simulations on d(CGCCGAATTCGCG), d(ATAGGCAAAAAATAGGCAAAAATGG) and d(G(5)-(GA(4)T(4)C)(2)-C(5)), including counterions and water, have been performed. To examine the effective of minor groove ions on structure, we analyzed the MD snapshots from a 15 ns trajectory on d(CGCGAATTCGCG) as two subsets: those exhibiting a minor groove water spine and those with groove-bound ions. The results indicate that Na(+) at the ApT step of the minor groove of d(CGCCGAATTCGCG) makes only small local changes in the DNA structure, and these changes are well within the thermal fluctuations calculated from the MD. To examine the effect of ions on the differential stability of a B-form helix, further analysis was performed on two longer oligonucleotides, which exhibit A-tract-induced axis bending localized around the CpG step in the major groove. Plots of axis bending and proximity of ions to the bending locus were generated as a function of time and revealed a strong linear correlation, supporting the idea that mobile cations play a key role in local helix deformations of DNA and indicating ion proximity just precedes the bending event. To address the issue of "what's in charge?" of DNA structure more generally, the relative free energy of A and B-form d(CGCGAATTCGCG) structures from MD simulations under various environmental circumstances were estimated using the free energy component method. The results indicate that the dominant effects on conformational stability come from the electrostatic free energy, but not exclusively from groove bound ions per se, but from a balance of competing factors in the electrostatic free energy, including phosphate repulsions internal to the DNA, the electrostatic component of hydration (i.e. solvent polarization), and electrostatic effects of the counterion atmosphere. In summary, free energy calculations indicate that the electrostatic component is dominant, MD shows temporal proximity of mobile counterions to be correlated with A-track-induced bending, and thus the mobile ion component of electrostatics is a significant contributor. However, the MD structure of the dodecamer d(CGCGAATTCGCG) is not highly sensitive to whether there is a sodium ion in the minor groove.

Local conformational variations observed in B-DNA crystals do not improve base stacking: computational analysis of base stacking in a d(CATGGGCCCATG)(2) B<-->A intermediate crystal structure

The crystal structure of d(CATGGGCCCATG)(2) shows unique stacking patterns of a stable B<-->A-DNA intermediate. We evaluated intrinsic base stacking energies in this crystal structure using an ab initio quantum mechanical method. We found that all crystal base pair steps have stacking energies close to their values in the standard and crystal B-DNA geometries. Thus, naturally occurring stacking geometries were essentially isoenergetic while individual base pair steps differed substantially in the balance of intra-strand and inter-strand stacking terms. Also, relative dispersion, electrostatic and polarization contributions to the stability of different base pair steps were very sensitive to base composition and sequence context. A large stacking flexibility is most apparent for the CpA step, while the GpG step is characterized by weak intra-strand stacking. Hydration effects were estimated using the Langevin dipoles solvation model. These calculations showed that an aqueous environment efficiently compensates for electrostatic stacking contributions. Finally, we have carried out explicit solvent molecular dynamics simulation of the d(CATGGGCCCATG)(2) duplex in water. Here the DNA conformation did not retain the initial crystal geometry, but moved from the B<-->A intermediate towards the B-DNA structure. The base stacking energy improved in the course of this simulation. Our findings indicate that intrinsic base stacking interactions are not sufficient to stabilize the local conformational variations in crystals.

Invariant and variable base stacking geometries in B-DNA and A-DNA

We calculated the interatomic distances between all couples of non-hydrogen atoms belonging to the neighboring Watson-Crick base pairs in the available crystal structures of DNA. Their standard deviations revealed remarkably large differences in the variability of the base stacking geometries of the particular steps. In line with experimental studies in solution, (CpA)-(TpG) and (TpA).(TpA) were identified as the most variable or flexible steps in the crystal structures of B-DNA. On the other hand, base stacking geometries of the (ApT).(ApT) steps were the most invariant, which was very surprising because all three steps composed only of C and G were much more flexible. This finding suggests that conformational stability of DNA and the rigidity have different origins. Furthermore, the nucleotide sequence dependence of the flexibility was almost reversed in A-DNA because the most flexible steps in B-DNA were the least flexible in A-DNA. The most invariant steps of B-DNA were variable in A-DNA. The (ApT).(ApT) step was a notable exception to this rule because it belonged to the most rigid steps in both B-DNA and A-DNA. The present results are fully consistent with the properties that poly(dA-dT).poly(dA-dT), poly(dA).poly(dT), poly(dAdC).poly(dG-dT) and poly(dA-dG).poly(dC-dT) exhibit in solution.

Effect of neighboring bases on base-pair stacking orientation: a molecular dynamics study

It is generally believed that base-pair stacking interaction in DNA double helix is one of the strongest interactions that governs sequence directed structural variability. However, X-ray crystal structures of some base-paired doublet sequences have been seen to adopt different structures when flanked by different base-pairs. DNA crystal database, however, is still too small to make good statistical inference about effect of such flanking residues. Influence of neighboring residue on the local helical geometry of a base-paired doublet in B-DNA has been investigated here using molecular dynamics simulation. We have generated ensembles of structures for d(CA).d(TG) and d(AA).d(TT) base-paired doublets located at the centers of d(CGCGCAAAGCG).d(CGCTTTGCGCG) and d(CGCGAAAACGCG).d(CGCGTTTTCGCG) sequences along with their analogs by varying the bases either at 5'- or 3'- position to the central doublet. Comparison of base paired doublet parameters for the ensembles of structures show that stacking geometry of d(CA).d(TG) doublet depends on some of the flanking base-pairs. On the other hand d(AA).d(TT) doublet remains nearly unperturbed when the flanking residues are altered.

DNA recognition by beta-sheets

The modes of DNA recognition by beta-sheets are analyzed by using the known crystal and solution three-dimensional structures of DNA-protein complexes. Close fitting of the protein surface and the DNA surface determines the binding geometry. Interaction takes place so that essentially the N-to-C direction of the beta-strands either follows or crosses the DNA groove. Upon following the major groove a two-stranded antiparallel beta-sheet dives into the groove and contacts DNA bases with its convex side facing the DNA, while upon following the minor groove, it binds around the sugar-phosphate backbones, with its opposite concave side shielding the DNA. In order for the beta-strands crossing the minor groove to interact with the DNA, the dinucleotide steps need to almost totally helically untwist and roll around major groove. The beta-sheet, on the other hand, needs to adopt a concave curvature on the binding surface in the direction that follows the DNA minor groove, and a convex surface in the direction that bridges the sugar-phosphate backbones across the groove. The result is to produce a hyperbolic paraboloidal DNA-binding surface.

Nucleic acids: theory and computer simulation, Y2K

Molecular dynamics simulations on DNA and RNA that include solvent are now being performed under realistic environmental conditions of water activity and salt. Improvements to force-fields and treatments of long-range interactions have significantly increased the reliability of simulations. New studies of sequence effects, axis bending, solvation and conformational transitions have appeared.

Sequence-dependent DNA structure: dinucleotide conformational maps

We have used a computational model to calculate the potential energy surface for dinucleotide steps in double helical DNA as a function of the two principal degrees of freedom, slide and shift. By using a virtual bond to model the constraints imposed by the sugar-phosphate backbone, twist, roll, tilt and rise can be simultaneously optimised for any given values of slide and shift. Thus we have been able to construct complete conformational maps for all step types. For some steps, the maps agree well with experimental data from X-ray crystal structures, but other steps appear to be strongly perturbed by the effects of context (conformational coupling with the neighbouring steps). The optimised values of twist and roll show sequence-dependent variations consistent with the crystal structure data. The conformational maps allow us to construct adiabatic paths, and hence calculate the flexibility of each step with respect to slide and shift. Again the results agree well with the available experimental assignments of flexibility: YR steps, CA/TG and CG, are the most flexible and RR steps, such as AA, the least flexible.