In silico investigation of conformational motions in superfamily 2 helicase proteins

Helicases are motor proteins that play a central role in the metabolism of DNA and RNA in biological cells. Using the energy of ATP molecules, they are able to translocate along the nucleic acids and unwind their duplex structure. They have been extensively characterized in the past and grouped into superfamilies based on structural similarities and sequential motifs. However, their functional aspects and the mechanism of their operation are not yet well understood. Here, we consider three helicases from the major superfamily 2--Hef, Hel308 and XPD--and study their conformational dynamics by using coarse-grained relaxational elastic network models. Specifically, their responses to mechanical perturbations are analyzed. This enables us to identify robust and ordered conformational motions which may underlie the functional activity of these proteins. As we show, such motions are well-organized and have large amplitudes. Their possible roles in the processing of nucleic substrate are discussed.     

A theoretical study of rotational diffusion models for rod-shaped viruses. The influence of motion on 31P nuclear magnetic resonance lineshapes and transversal relaxation.

Information about the interaction between nucleic acids and coat proteins in intact virus particles may be obtained by studying the restricted backbone dynamics of the incapsulated nucleic acids using 31P nuclear magnetic resonance (NMR) spectroscopy. In this article, simulations are carried out to investigate how reorientation of a rod-shaped virus particle as a whole and isolated nucleic acid motions within the virion influence the 31P NMR lineshape and transversal relaxation dominated by the phosphorus chemical shift anisotropy. Two opposite cases are considered on a theoretical level. First, isotropic rotational diffusion is used as a model for mobile nucleic acids that are loosely or partially bound to the protein coat. The effect of this type of diffusion on lineshape and transversal relaxation is calculated by solving the stochastic Liouville equation by an expansion in spherical functions. Next, uniaxial rotational diffusion is assumed to represent the mobility of phosphorus in a virion that rotates as a rigid rod about its length axis. This type of diffusion is approximated by an exchange process among discrete sites. As turns out from these simulations, the amplitude and the frequency of the motion can only be unequivocally determined from experimental data by a combined analysis of the lineshape and the transversal relaxation. In the fast motional region both the isotropic and the uniaxial diffusion model predict the same transversal relaxation as the Redfield theory. For very slow motion, transversal relaxation resembles the nonexponential relaxation as observed for water molecules undergoing translational diffusion in a magnetic field gradient. In this frequency region T2e is inversely proportional to the cube root of the diffusion coefficient. In addition to the isotropic and uniaxial diffusion models, a third model is presented, in which fast restricted nucleic acid backbone motions dominating the lineshape are superimposed on a slow rotation of the virion about its length axis, dominating transversal relaxation. In an accompanying article the models are applied to the 31P NMR results obtained for bacteriophage M13 and tobacco mosaic virus.     

Site-specific incorporation of nitroxide spin-labels into 2'-positions of nucleic acids

A protocol is described for the incorporation of nitroxide spin-labels into specific 2'-sites within nucleic acids. This labeling strategy facilitates the investigation of nucleic acid structure and dynamics using electron paramagnetic resonance (EPR) spectroscopy and macromolecular complex formation using paramagnetic relaxation enhancement NMR spectroscopy. A spin-labeling reagent, 4-isocyanato TEMPO, which can be prepared in one facile step or obtained commercially, is used for postsynthetic modification of site-specifically 2'-amino-modified nucleic acids. This spin-labeling protocol has been applied primarily to RNA, but is also applicable to DNA. Subsequently, EPR spectroscopic analysis of the spin-labeled nucleic acids allows for the measurements of distances, solvent accessibilities and conformation dynamics. Using the spin-labeling strategy described here, spin-labeled samples can be prepared in 2-4 d.     

Effective and site-specific phosphoramidation reaction for universally labeling nucleic acids

Here we report efficient and selective postsynthesis labeling strategies, based on an advanced phosphoramidation reaction, for nucleic acids of either synthetic or enzyme-catalyzed origin. The reactions provided phosphorimidazolide intermediates of DNA or RNA which, whether reacted in one pot (one-step) or purified (two-step), were directly or indirectly phosphoramidated with label molecules. The acquired fluorophore-labeled nucleic acids, prepared from the phosphoramidation reactions, demonstrated labeling efficacy by their F/N ratio values (number of fluorophores per molecule of nucleic acid) of 0.02–1.2 which are comparable or better than conventional postsynthesis fluorescent labeling methods for DNA and RNA. Yet, PCR and UV melting studies of the one-step phosphoramidation-prepared FITC-labeled DNA indicated that the reaction might facilitate nonspecific hybridization in nucleic acids. Intrinsic hybridization specificity of nucleic acids was, however, conserved in the two-step phosphoramidation reaction. The reaction of site-specific labeling nucleic acids at the 5′-end was supported by fluorescence quenching and UV melting studies of fluorophore-labeled DNA. The two-step phosphoramidation-based, effective, and site-specific labeling method has the potential to expedite critical research including visualization, quantification, structural determination, localization, and distribution of nucleic acids in vivo and in vitro.     

Active site dynamics in the lead-dependent ribozyme

Conformational dynamics are an important property of ribozymes and other RNA molecules but there is currently only limited information on the relationship between dynamics and RNA function. A recent structural study of the lead-dependent ribozyme, known as the leadzyme, showed significant dynamics at the active site and indicated that a structural rearrangement is required for the reaction to proceed from the ground to the transition state. In this work, microsecond-to-millisecond dynamics of the leadzyme are probed by analysis of the power dependence of (13)C NMR relaxation times in the rotating frame (T(1)(rho)). These results revealed a wide range of conformational dynamics for various residues in the leadzyme. For residue A25 in the active site, the power dependence of T(1)(rho) yielded an exchange lifetime similar to that previously measured by line-shape analysis, and provides an important calibration of this T(1)(rho) methodology for probing the dynamics of macromolecules. Strong evidence was also found for a previously suggested dynamic network of hydrogen bonds stabilizing the GAAA tetraloop motif. Within the active site of the leadzyme, internal motions are observed on a wide variety of time scales, suggesting a complex landscape of accessible states, and potential correlations between observed motions and catalytic function are discussed. These results demonstrate that the power dependence of (13)C T(1)(rho) relaxation times provides a valuable method for probing dynamics in nucleic acids.     

Role of methyl groups in dynamics and evolution of biomolecules

Recent studies have discovered strong differences between the dynamics of nucleic acids (RNA and DNA) and proteins, especially at low hydration and low temperatures. This difference is caused primarily by dynamics of methyl groups that are abundant in proteins, but are absent or very rare in RNA and DNA. In this paper, we present a hypothesis regarding the role of methyl groups as intrinsic plasticizers in proteins and their evolutionary selection to facilitate protein dynamics and activity. We demonstrate the profound effect methyl groups have on protein dynamics relative to nucleic acid dynamics, and note the apparent correlation of methyl group content in protein classes and their need for molecular flexibility. Moreover, we note the fastest methyl groups of some enzymes appear around dynamical centers such as hinges or active sites. Methyl groups are also of tremendous importance from a hydrophobicity/folding/entropy perspective. These significant roles, however, complement our hypothesis rather than preclude the recognition of methyl groups in the dynamics and evolution of biomolecules.     

PNA technology

Peptide nucleic acids (PNA) are deoxyribonucleic acid (DNA) mimics with a pseudopeptide backbone. PNA is an extremely good structural mimic of DNA (or of ribonucleic acid [RNA]), and PNA oligomers are able to form very stable duplex structures with Watson-Crick complementary DNA and RNA (or PNA) oligomers, and they can also bind to targets in duplex DNA by helix invasion. Therefore, these molecules are of interest in many areas of chemistry, biology, and medicine, including drug discovery, genetic diagnostics, molecular recognition, and the origin of life. Recent progress in studies of PNA properties and applications is reviewed.     

MINT: software to identify motifs and short-range interactions in trajectories of nucleic acids

Structural biology experiments and structure prediction tools have provided many high-resolution three-dimensional structures of nucleic acids. Also, molecular dynamics force field parameters have been adapted to simulating charged and flexible nucleic acid structures on microsecond time scales. Therefore, we can generate the dynamics of DNA or RNA molecules, but we still lack adequate tools for the analysis of the resulting huge amounts of data. We present MINT (Motif Identifier for Nucleic acids Trajectory) — an automatic tool for analyzing three-dimensional structures of RNA and DNA, and their full-atom molecular dynamics trajectories or other conformation sets (e.g. X-ray or nuclear magnetic resonance-derived structures). For each RNA or DNA conformation MINT determines the hydrogen bonding network resolving the base pairing patterns, identifies secondary structure motifs (helices, junctions, loops, etc.) and pseudoknots. MINT also estimates the energy of stacking and phosphate anion-base interactions. For many conformations, as in a molecular dynamics trajectory, MINT provides averages of the above structural and energetic features and their evolution. We show MINT functionality based on all-atom explicit solvent molecular dynamics trajectory of the 30S ribosomal subunit.     

Water and ion binding around RNA and DNA (C,G) oligomers

The dynamics, hydration, and ion-binding features of two duplexes, the A(r(CG)(12)) and the B(d(CG)(12)), in a neutralizing aqueous environment with 0.25 M added KCl have been investigated by molecular dynamics (MD) simulations. The regular repeats of the same C=G base-pair motif have been exploited as a statistical alternative to long MD simulations in order to extend the sampling of the conformational space. The trajectories demonstrate the larger flexibility of DNA compared to RNA helices. This flexibility results in less well defined hydration patterns around the DNA than around the RNA backbone atoms. Yet, 22 hydration sites are clearly characterized around both nucleic acid structures. With additional results from MD simulations, the following hydration scale for C=G pairs can be deduced: A-DNA相似文献   

Recent advances in the in vitro evolution of nucleic acids

Molecular evolution allows chemists and biologists to generate nucleic acids with tailor-made binding or catalytic activities. Recent examples of nucleic acid evolution in vitro provide insights into natural ribozyme evolution and also demonstrate potential applications of evolved DNA and RNA molecules. Efforts to expand the scope of nucleic acid evolution are also underway, including the development of novel methods for exploring nucleic acid sequence-space and the incorporation of non-natural chemical functionality into nucleic acid libraries.     

Independent alignment of RNA for dynamic studies using residual dipolar couplings

Molecular motion and dynamics play an essential role in the biological function of many RNAs. An important source of information on biomolecular motion can be found in residual dipolar couplings which contain dynamics information over the entire ms-ps timescale. However, these methods are not fully applicable to RNA because nucleic acid molecules tend to align in a highly collinear manner in different alignment media. As a consequence, information on dynamics that can be obtained with this method is limited. In order to overcome this limitation, we have generated a chimeric RNA containing both the wild type TAR RNA, the target of our investigation of dynamics, as well as the binding site for U1A protein. When U1A protein was bound to the portion of the chimeric RNA containing its binding site, we obtained independent alignment of TAR by exploiting the physical chemical characteristics of this protein. This technique can allow the extraction of new information on RNA dynamics, which is particularly important for time scales not covered by relaxation methods where important RNA motions occur.     

Crystallographic studies of DNA and RNA

Our knowledge of nucleic acid structure grew rapidly over the past decade with the determination to high resolution of larger structures of great biological significance. Advances in sample preparation, crystallization techniques, cryocrystallography, access to synchrotron radiation, and crystallographic software continue to accelerate the structure determination of nucleic acids. Crystallographic studies of DNA and RNA molecules share many considerations that we outline here. The application of crystallography to RNA is illustrated with the structure determination of the CUG repeat that is linked to type I myotonic dystrophy.     

Pelagic-benthic coupling of nucleic acids in an abyssal location of the northeastern Atlantic Ocean.

Spatial and temporal changes in sedimentary nucleic acid concentrations in an abyssal locality of the northeastern Atlantic Ocean were investigated in relation to fluxes of nucleic acids produced in the photic layer. Sediment trap material, collected between 1996 and 1998 at depths of 1,000, 3,000, and 4,700 m, and sediment samples were analyzed for DNA and RNA content. Nucleic acid concentrations in the sediments were very high and displayed significant temporal changes, whereas mesoscale variability was low. DNA and RNA concentrations generally displayed opposite temporal patterns, which are likely to be dependent on the nature and characteristics of DNA and RNA molecules. Nucleic acid fluxes were high and displayed clear seasonal changes apparently coupled with seasonal pulses of primary production. However, while median values of DNA fluxes were relatively similar in all sediment traps, median values of RNA fluxes almost doubled from the 1,000- to the 4,700-m depth, suggesting differences in the metabolic activity of microbes associated with sinking particles. Significant relationships between DNA concentrations in the sediments and DNA fluxes and between RNA concentrations and RNA fluxes, indicating the presence of a clear pelagic-benthic coupling of particulate nucleic acids, were observed. The benthic system investigated was not steady state since we estimated that, from September 1996 to October 1998, nucleic acid concentration in the sediments decreased by about 165 mg of DNA m(-2). Vertical profiles revealed a significant decrease in DNA concentration with depth in the sediments, reaching an asymptotic value of about 5 microg g(-1). This DNA fraction constitutes a pool of potentially refractory DNA (accounting for 16 to 40% of the total DNA pool) that might be buried in the sediments.     

Artificial ribozymes and deoxyribozymes.

RNA and DNA molecules with catalytic properties have been isolated by in vitro selection from combinatorial nucleic acid libraries. A broad range of chemical reactions is catalyzed and nucleic acids can accelerate bond formation between small organic substrates. The catalytic performance of nucleic acids can be enhanced by the incorporation of additional functional groups.     

Ultrasensitive electrical detection of nucleic acids by hematin catalysed silver nanoparticle formation in sub-microgapped biosensors

An ultrasensitive electrical detection method of nucleic acids has been demonstrated on sub-microgapped biosensor. In this method, peptide nucleic acid (PNA) probes were firstly immobilized in the gap areas of a pair of interdigited microelectrodes and then were hybridized with their complementary target DNA. After hybridization, hematin molecules were introduced into the DNA strand via zirconium-phosphate and zirconium-carbonate chemistries. The newly attached hematin molecules act as a catalyst to accelerate reducing ammoniacal silver ion to form silver nanoparticles, which span the gap of the interdigitated microelectrode. The conductance of the silver nanoparticles directly correlated with the number of the hybridized DNA molecules. Nearly 1fM sensitivity was achieved under optimal conditions. This approach is also applicable to the detection of RNA.     

Pelagic-Benthic Coupling of Nucleic Acids in an Abyssal Location of the Northeastern Atlantic Ocean

Spatial and temporal changes in sedimentary nucleic acid concentrations in an abyssal locality of the northeastern Atlantic Ocean were investigated in relation to fluxes of nucleic acids produced in the photic layer. Sediment trap material, collected between 1996 and 1998 at depths of 1,000, 3,000, and 4,700 m, and sediment samples were analyzed for DNA and RNA content. Nucleic acid concentrations in the sediments were very high and displayed significant temporal changes, whereas mesoscale variability was low. DNA and RNA concentrations generally displayed opposite temporal patterns, which are likely to be dependent on the nature and characteristics of DNA and RNA molecules. Nucleic acid fluxes were high and displayed clear seasonal changes apparently coupled with seasonal pulses of primary production. However, while median values of DNA fluxes were relatively similar in all sediment traps, median values of RNA fluxes almost doubled from the 1,000- to the 4,700-m depth, suggesting differences in the metabolic activity of microbes associated with sinking particles. Significant relationships between DNA concentrations in the sediments and DNA fluxes and between RNA concentrations and RNA fluxes, indicating the presence of a clear pelagic-benthic coupling of particulate nucleic acids, were observed. The benthic system investigated was not steady state since we estimated that, from September 1996 to October 1998, nucleic acid concentration in the sediments decreased by about 165 mg of DNA m⁻². Vertical profiles revealed a significant decrease in DNA concentration with depth in the sediments, reaching an asymptotic value of about 5 μg g⁻¹. This DNA fraction constitutes a pool of potentially refractory DNA (accounting for 16 to 40% of the total DNA pool) that might be buried in the sediments.     

Modeling nucleic acids

Nucleic acids are an important class of biological macromolecules that carry out a variety of cellular roles. For many functions, naturally occurring DNA and RNA molecules need to fold into precise three-dimensional structures. Due to their self-assembling characteristics, nucleic acids have also been widely studied in the field of nanotechnology, and a diverse range of intricate three-dimensional nanostructures have been designed and synthesized. Different physical terms such as base-pairing and stacking interactions, tertiary contacts, electrostatic interactions and entropy all affect nucleic acid folding and structure. Here we review general computational approaches developed to model nucleic acid systems. We focus on four key areas of nucleic acid modeling: molecular representation, potential energy function, degrees of freedom and sampling algorithm. Appropriate choices in each of these key areas in nucleic acid modeling can effectively combine to aid interpretation of experimental data and facilitate prediction of nucleic acid structure.     

Interaction of the putative anticancer alkaloid chelerythrine with nucleic acids: biophysical perspectives

Alkaloids represent an important group of molecules that have immense pharmacological potential. Benzophenanthridine alkaloids are one such class of alkaloids known for their myriad pharmacological activities that include potential anticancer activities. Chelerythrine is a premier member of the benzophenanthridine family of the isoquinoline group. This alkaloid is endowed with excellent medicinal properties and exhibits antibacterial, antimicrobial and anti-inflammatory properties. The molecular basis of its therapeutic activity is considered due to its nucleic acid binding capabilities. This review focuses on consolidating the current status on the nucleic acid binding properties of chelerythrine that is essential for the rational design and development of this alkaloid as a potential drug. This work reviews the interaction of chelerythrine with different natural and synthetic nucleic acids like double- and single-stranded DNAs, heat-denatured DNA, quadruplex DNA, double- and single-stranded RNA, tRNA and triplex and quadruplex RNA. The review emphasizes on the mode, specificity, conformational aspects and energetics of the binding that is particularly helpful for developing nucleic acid targeted therapeutics. The fundamental results discussed in this review will greatly benefit drug development for many diseases and serve as a database for the design of futuristic benzophenanthridine-based therapeutics.