Solution structure of DinI provides insight into its mode of RecA inactivation

Structural basis for regulation of SOS response in bacteria

In response to DNA damage, bacterial RecA protein forms filaments with the assistance of DinI protein. The RecA filaments stimulate the autocleavage of LexA, the repressor of more than 50 SOS genes, and activate the SOS response. During the late phase of SOS response, the RecA filaments stimulate the autocleavage of UmuD and λ repressor CI, leading to mutagenic repair and lytic cycle, respectively. Here, we determined the cryo-electron microscopy structures of Escherichia coli RecA filaments in complex with DinI, LexA, UmuD, and λCI by helical reconstruction. The structures reveal that LexA and UmuD dimers bind in the filament groove and cleave in an intramolecular and an intermolecular manner, respectively, while λCI binds deeply in the filament groove as a monomer. Despite their distinct folds and oligomeric states, all RecA filament binders recognize the same conserved protein features in the filament groove. The SOS response in bacteria can lead to mutagenesis and antimicrobial resistance, and our study paves the way for rational drug design targeting the bacterial SOS response.

Advances in NMR Spectroscopy of Weakly Aligned Biomolecular Systems

The measurement and application of residual dipolar couplings (RDCs) in solution NMR studies of biological macromolecules has become well established over the past quarter of a century. Numerous methods for generating the requisite anisotropic orientational molecular distribution have been demonstrated, each with its specific strengths and weaknesses. In parallel, an enormous number of pulse schemes have been introduced to measure the many different types of RDCs, ranging from the most widely measured backbone amide ¹⁵N-¹H RDCs, to ¹H-¹H RDCs and couplings between low-γ nuclei. Applications of RDCs range from structure validation and refinement to the determination of relative domain orientations, the measurement of backbone and domain motions, and de novo structure determination. Nevertheless, it appears that the power of the RDC methodology remains underutilized. This review aims to highlight the practical aspects of sample preparation and RDC measurement while describing some of the most straightforward applications that take advantage of the exceptionally precise information contained in such data. Some emphasis will be placed on more recent developments that enable the accurate measurement of RDCs in larger systems, which is key to the ongoing shift in focus of biological NMR spectroscopy from structure determination toward gaining improved understanding of how molecular flexibility drives protein function.

NMR hawk-eyed view of AlphaFold2 structures

The prediction of the three‐dimensional (3D) structure of proteins from the amino acid sequence made a stunning breakthrough reaching atomic accuracy. Using the neural network‐based method AlphaFold2, 3D structures of almost the entire human proteome have been predicted and made available (https://www.alphafold.ebi.ac.uk). To gain insight into how well AlphaFold2 structures represent the conformation of proteins in solution, I here compare the AlphaFold2 structures of selected small proteins with their 3D structures that were determined by nuclear magnetic resonance (NMR) spectroscopy. Proteins were selected for which the 3D solution structures were determined on the basis of a very large number of distance restraints and residual dipolar couplings and are thus some of the best‐resolved solution structures of proteins to date. The quality of the backbone conformation of the AlphaFold2 structures is assessed by fitting a large set of experimental residual dipolar couplings (RDCs). The analysis shows that experimental RDCs fit extremely well to the AlphaFold2 structures predicted for GB3, DinI, and ubiquitin. In the case of GB3, the accuracy of the AlphaFold2 structure even surpasses that of a 1.1 Å crystal structure. Fitting of experimental RDCs furthermore allows identification of AlphaFold2 structures that are best representative of the protein's conformation in solution as seen for the EF hands of the N‐terminal domain of Ca²⁺‐ligated calmodulin. Taken together, the analysis shows that structures predicted by AlphaFold2 can be highly representative of the solution conformation of proteins. The combination of AlphaFold2 structures with RDCs promises to be a powerful approach to study structural changes in proteins.

Spatial and temporal organization of RecA in the Escherichia coli DNA-damage response

The RecA protein orchestrates the cellular response to DNA damage via its multiple roles in the bacterial SOS response. Lack of tools that provide unambiguous access to the various RecA states within the cell have prevented understanding of the spatial and temporal changes in RecA structure/function that underlie control of the damage response. Here, we develop a monomeric C-terminal fragment of the λ repressor as a novel fluorescent probe that specifically interacts with RecA filaments on single-stranded DNA (RecA*). Single-molecule imaging techniques in live cells demonstrate that RecA is largely sequestered in storage structures during normal metabolism. Upon DNA damage, the storage structures dissolve and the cytosolic pool of RecA rapidly nucleates to form early SOS-signaling complexes, maturing into DNA-bound RecA bundles at later time points. Both before and after SOS induction, RecA* largely appears at locations distal from replisomes. Upon completion of repair, RecA storage structures reform.

Protein structural information derived from NMR chemical shift with the neural network program TALOS-N

Chemical shifts are obtained at the first stage of any protein structural study by NMR spectroscopy. Chemical shifts are known to be impacted by a wide range of structural factors, and the artificial neural network based TALOS-N program has been trained to extract backbone and side-chain torsion angles from (1)H, (15)N, and (13)C shifts. The program is quite robust and typically yields backbone torsion angles for more than 90 % of the residues and side-chain χ 1 rotamer information for about half of these, in addition to reliably predicting secondary structure. The use of TALOS-N is illustrated for the protein DinI, and torsion angles obtained by TALOS-N analysis from the measured chemical shifts of its backbone and (13)C(β) nuclei are compared to those seen in a prior, experimentally determined structure. The program is also particularly useful for generating torsion angle restraints, which then can be used during standard NMR protein structure calculations.

Squaring up to DNA: pentapeptide repeat proteins and DNA mimicry

Pentapeptide repeats are a class of proteins characterized by the presence of multiple repeating sequences five amino acids in length. The sequences fold into a right-handed β-helix with a roughly square-shaped cross section. Pentapeptide repeat proteins include a number of examples which are thought to function as structural mimics of DNA and act to competitively bind to the type II topoisomerase DNA gyrase, an important antibacterial target. DNA gyrase-targeting pentapeptide repeat proteins can both inhibit DNA gyrase-a potentially useful therapeutic property-and contribute to resistance to quinolone antibacterials (by acting to prevent them forming a lethal complex with the DNA and enzyme). Pentapeptide repeat proteins are therefore of wide interest not only because of their unusual structure, function, and potential as an antibacterial target, but also because knowledge of their mechanism of action may lead to both a greater understanding of the details of DNA gyrase function as well as being a useful template for the design of new DNA gyrase inhibitors. However, many puzzling aspects as to how these DNA mimics function and indeed even their ability to act as DNA mimics itself remains open to question. This review summarizes the current state of knowledge regarding pentapeptide repeat proteins, focusing on those that are thought to mimic DNA, and speculates on potential structure-function relationships which may account for their differing specificities.

Lipid concentration and molar ratio boundaries for the use of isotropic bicelles

Bicelles are model membranes generally made of long-chain dimyristoylphosphatidylcholine (DMPC) and short-chain dihexanoyl-PC (DHPC). They are extensively used in the study of membrane interactions and structure determination of membrane-associated peptides, since their composition and morphology mimic the widespread PC-rich natural eukaryotic membranes. At low DMPC/DHPC (q) molar ratios, fast-tumbling bicelles are formed in which the DMPC bilayer is stabilized by DHPC molecules in the high-curvature rim region. Experimental constraints imposed by techniques such as circular dichroism, dynamic light scattering, or microscopy may require the use of bicelles at high dilutions. Studies have shown that such conditions induce the formation of small aggregates and alter the lipid-to-detergent ratio of the bicelle assemblies. The objectives of this work were to determine the exact composition of those DMPC/DHPC isotropic bicelles and study the lipid miscibility. This was done using (31)P nuclear magnetic resonance (NMR) and exploring a wide range of lipid concentrations (2-400 mM) and q ratios (0.15-2). Our data demonstrate how dilution modifies the actual DMPC/DHPC molar ratio in the bicelles. Care must be taken for samples with a total lipid concentration ≤250 mM and especially at q ∼ 1.5-2, since moderate dilutions could lead to the formation of large and slow-tumbling lipid structures that could hinder the use of solution NMR methods, circular dichroism or dynamic light scattering studies. Our results, supported by infrared spectroscopy and molecular dynamics simulations, also show that phospholipids in bicelles are largely segregated only when q > 1. Boundaries are presented within which control of the bicelles' q ratio is possible. This work, thus, intends to guide the choice of q ratio and total phospholipid concentration when using isotropic bicelles.

A practical implicit solvent potential for NMR structure calculation

The benefits of protein structure refinement in water are well documented. However, performing structure refinement with explicit atomic representation of the solvent molecules is computationally expensive and impractical for NMR-restrained structure calculations that start from completely extended polypeptide templates. Here we describe a new implicit solvation potential, EEFx (Effective Energy Function for XPLOR-NIH), for NMR-restrained structure calculations of proteins in XPLOR-NIH. The key components of EEFx are an energy term for solvation energy that works together with other nonbonded energy functions, and a dedicated force field for conformational and nonbonded protein interaction parameters. The initial results obtained with EEFx show that significant improvements in structural quality can be obtained. EEFx is computationally efficient and can be used both to fold and refine structures. Overall, EEFx improves the quality of protein conformation and nonbonded atomic interactions. Moreover, such benefits are accompanied by enhanced structural precision and enhanced structural accuracy, reflected in improved agreement with the cross-validated dipolar coupling data. Finally, implementation of EEFx calculations is straightforward and computationally efficient. Overall, EEFx provides a useful method for the practical calculation of experimental protein structures in a physically realistic environment.

DNA mimic proteins: functions, structures, and bioinformatic analysis

DNA mimic proteins have DNA-like negative surface charge distributions, and they function by occupying the DNA binding sites of DNA binding proteins to prevent these sites from being accessed by DNA. DNA mimic proteins control the activities of a variety of DNA binding proteins and are involved in a wide range of cellular mechanisms such as chromatin assembly, DNA repair, transcription regulation, and gene recombination. However, the sequences and structures of DNA mimic proteins are diverse, making them difficult to predict by bioinformatic search. To date, only a few DNA mimic proteins have been reported. These DNA mimics were not found by searching for functional motifs in their sequences but were revealed only by structural analysis of their charge distribution. This review highlights the biological roles and structures of 16 reported DNA mimic proteins. We also discuss approaches that might be used to discover new DNA mimic proteins.

Staphylococcus aureus protein SAUGI acts as a uracil-DNA glycosylase inhibitor

DNA mimic proteins are unique factors that control the DNA binding activity of target proteins by directly occupying their DNA binding sites. The extremely divergent amino acid sequences of the DNA mimics make these proteins hard to predict, and although they are likely to be ubiquitous, to date, only a few have been reported and functionally analyzed. Here we used a bioinformatic approach to look for potential DNA mimic proteins among previously reported protein structures. From ∼14 candidates, we selected the Staphylococcus conserved hypothetical protein SSP0047, and used proteomic and structural approaches to show that it is a novel DNA mimic protein. In Staphylococcus aureus, we found that this protein acts as a uracil-DNA glycosylase inhibitor, and therefore named it S. aureus uracil-DNA glycosylase inhibitor (SAUGI). We also determined and analyzed the complex structure of SAUGI and S. aureus uracil-DNA glycosylase (SAUDG). Subsequent BIAcore studies further showed that SAUGI has a high binding affinity to both S. aureus and human UDG. The two uracil-DNA glycosylase inhibitors (UGI and p56) previously known to science were both found in Bacillus phages, and this is the first report of a bacterial DNA mimic that may regulate SAUDG’s functional roles in DNA repair and host defense.

Smooth statistical torsion angle potential derived from a large conformational database via adaptive kernel density estimation improves the quality of NMR protein structures

Statistical potentials that embody torsion angle probability densities in databases of high-quality X-ray protein structures supplement the incomplete structural information of experimental nuclear magnetic resonance (NMR) datasets. By biasing the conformational search during the course of structure calculation toward highly populated regions in the database, the resulting protein structures display better validation criteria and accuracy. Here, a new statistical torsion angle potential is developed using adaptive kernel density estimation to extract probability densities from a large database of more than 10⁶ quality-filtered amino acid residues. Incorporated into the Xplor-NIH software package, the new implementation clearly outperforms an older potential, widely used in NMR structure elucidation, in that it exhibits simultaneously smoother and sharper energy surfaces, and results in protein structures with improved conformation, nonbonded atomic interactions, and accuracy.

Exploring the DNA mimicry of the Ocr protein of phage T7

DNA mimic proteins have evolved to control DNA-binding proteins by competing with the target DNA for binding to the protein. The Ocr protein of bacteriophage T7 is the most studied DNA mimic and functions to block the DNA-binding groove of Type I DNA restriction/modification enzymes. This binding prevents the enzyme from cleaving invading phage DNA. Each 116 amino acid monomer of the Ocr dimer has an unusual amino acid composition with 34 negatively charged side chains but only 6 positively charged side chains. Extensive mutagenesis of the charges of Ocr revealed a regression of Ocr activity from wild-type activity to partial activity then to variants inactive in antirestriction but deleterious for cell viability and lastly to totally inactive variants with no deleterious effect on cell viability. Throughout the mutagenesis the Ocr mutant proteins retained their folding. Our results show that the extreme bias in charged amino acids is not necessary for antirestriction activity but that less charged variants can affect cell viability by leading to restriction proficient but modification deficient cell phenotypes.

Neisseria conserved protein DMP19 is a DNA mimic protein that prevents DNA binding to a hypothetical nitrogen-response transcription factor

DNA mimic proteins occupy the DNA binding sites of DNA-binding proteins, and prevent these sites from being accessed by DNA. We show here that the Neisseria conserved hypothetical protein DMP19 acts as a DNA mimic. The crystal structure of DMP19 shows a dsDNA-like negative charge distribution on the surface, suggesting that this protein should be added to the short list of known DNA mimic proteins. The crystal structure of another related protein, NHTF (Neisseria hypothetical transcription factor), provides evidence that it is a member of the xenobiotic-response element (XRE) family of transcriptional factors. NHTF binds to a palindromic DNA sequence containing a 5'-TGTNAN(11)TNACA-3' recognition box that controls the expression of an NHTF-related operon in which the conserved nitrogen-response protein [i.e. (Protein-PII) uridylyltransferase] is encoded. The complementary surface charges between DMP19 and NHTF suggest specific charge-charge interaction. In a DNA-binding assay, we found that DMP19 can prevent NHTF from binding to its DNA-binding sites. Finally, we used an in situ gene regulation assay to provide evidence that NHTF is a repressor of its down-stream genes and that DMP19 can neutralize this effect. We therefore conclude that the interaction of DMP19 and NHTF provides a novel gene regulation mechanism in Neisseria spps.

Mechanistic insights into the activation of Rad51-mediated strand exchange from the structure of a recombination activator, the Swi5-Sfr1 complex

Rad51 forms a helical filament on single-stranded DNA and promotes strand exchange between two homologous DNA molecules during homologous recombination. The Swi5-Sfr1 complex interacts directly with Rad51 and stimulates strand exchange. Here we describe structural and functional aspects of the complex. Swi5 and the C-terminal core domain of Sfr1 form an essential activator complex with a parallel coiled-coil heterodimer joined firmly together via two previously uncharacterized leucine-zipper motifs and a bundle. The resultant coiled coil is sharply kinked, generating an elongated crescent-shaped structure suitable for transient binding within the helical groove of the Rad51 filament. The N-terminal region of Sfr1, meanwhile, has an interface for binding of Rad51. Our data suggest that the snug fit resulting from the complementary geometry of the heterodimer activates the Rad51 filament and that the N-terminal domain of Sfr1 plays a role in the efficient recruitment of the Swi5-Sfr1 complex to the Rad51 filaments.

An improved algorithm for MFR fragment assembly

A method for generating protein backbone models from backbone only NMR data is presented, which is based on molecular fragment replacement (MFR). In a first step, the PDB database is mined for homologous peptide fragments using experimental backbone-only data i.e. backbone chemical shifts (CS) and residual dipolar couplings (RDC). Second, this fragment library is refined against the experimental restraints. Finally, the fragments are assembled into a protein backbone fold using a rigid body docking algorithm using the RDCs as restraints. For improved performance, backbone nuclear Overhauser effects (NOEs) may be included at that stage. Compared to previous implementations of MFR-derived structure determination protocols this model-building algorithm offers improved stability and reliability. Furthermore, relative to CS-ROSETTA based methods, it provides faster performance and straightforward implementation with the option to easily include further types of restraints and additional energy terms.

Protein loop closure using orientational restraints from NMR data

Protein loops often play important roles in biological functions. Modeling loops accurately is crucial to determining the functional specificity of a protein. Despite the recent progress in loop prediction approaches, which led to a number of algorithms over the past decade, few rigorous algorithmic approaches exist to model protein loops using global orientational restraints, such as those obtained from residual dipolar coupling (RDC) data in solution nuclear magnetic resonance (NMR) spectroscopy. In this article, we present a novel, sparse data, RDC-based algorithm, which exploits the mathematical interplay between RDC-derived sphero-conics and protein kinematics, and formulates the loop structure determination problem as a system of low-degree polynomial equations that can be solved exactly, in closed-form. The polynomial roots, which encode the candidate conformations, are searched systematically, using provable pruning strategies that triage the vast majority of conformations, to enumerate or prune all possible loop conformations consistent with the data; therefore, completeness is ensured. Results on experimental RDC datasets for four proteins, including human ubiquitin, FF2, DinI, and GB3, demonstrate that our algorithm can compute loops with higher accuracy, a three- to six-fold improvement in backbone RMSD, versus those obtained by traditional structure determination protocols on the same data. Excellent results were also obtained on synthetic RDC datasets for protein loops of length 4, 8, and 12 used in previous studies. These results suggest that our algorithm can be successfully applied to determine protein loop conformations, and hence, will be useful in high-resolution protein backbone structure determination, including loops, from sparse NMR data. Proteins 2012. © 2011 Wiley Periodicals, Inc.

Two modes of binding of DinI to RecA filament provide a new insight into the regulation of SOS response by DinI protein

RecA protein plays a principal role in bacterial SOS response to DNA damage. The induction of the SOS response is well understood and involves the cleavage of the LexA repressor catalyzed by the RecA nucleoprotein filament. In contrast, our understanding of the regulation and termination of the SOS response is much more limited. RecX and DinI are two major regulators of RecA's ability to promote LexA cleavage and strand exchange reaction, and are believed to modulate its activity in ongoing SOS events. DinI's function in the SOS response remains controversial, since its interaction with the RecA filament is concentration dependent and may result in either stabilization or depolymerization of the filament. The 17 C-terminal residues of RecA modulate the interaction between DinI and RecA. We demonstrate that DinI binds to the active RecA filament in two distinct structural modes. In the first mode, DinI binds to the C-terminus of a RecA protomer. In the second mode, DinI resides deeply in the groove of the RecA filament, with its negatively charged C-terminal helix proximal to the L2 loop of RecA. The deletion of the 17 C-terminal residues of RecA favors the second mode of binding. We suggest that the negatively charged C-terminus of RecA prevents DinI from entering the groove and protects the RecA filament from depolymerization. Polymorphic binding of DinI to RecA filaments implies an even more complex role of DinI in the bacterial SOS response.

SPARTA+: a modest improvement in empirical NMR chemical shift prediction by means of an artificial neural network

NMR chemical shifts provide important local structural information for proteins and are key in recently described protein structure generation protocols. We describe a new chemical shift prediction program, SPARTA+, which is based on artificial neural networking. The neural network is trained on a large carefully pruned database, containing 580 proteins for which high-resolution X-ray structures and nearly complete backbone and (13)C(beta) chemical shifts are available. The neural network is trained to establish quantitative relations between chemical shifts and protein structures, including backbone and side-chain conformation, H-bonding, electric fields and ring-current effects. The trained neural network yields rapid chemical shift prediction for backbone and (13)C(beta) atoms, with standard deviations of 2.45, 1.09, 0.94, 1.14, 0.25 and 0.49 ppm for delta(15)N, delta(13)C', delta(13)C(alpha), delta(13)C(beta), delta(1)H(alpha) and delta(1)H(N), respectively, between the SPARTA+ predicted and experimental shifts for a set of eleven validation proteins. These results represent a modest but consistent improvement (2-10%) over the best programs available to date, and appear to be approaching the limit at which empirical approaches can predict chemical shifts.

TALOS+: a hybrid method for predicting protein backbone torsion angles from NMR chemical shifts

NMR chemical shifts in proteins depend strongly on local structure. The program TALOS establishes an empirical relation between 13C, 15N and 1H chemical shifts and backbone torsion angles phi and psi (Cornilescu et al. J Biomol NMR 13 289-302, 1999). Extension of the original 20-protein database to 200 proteins increased the fraction of residues for which backbone angles could be predicted from 65 to 74%, while reducing the error rate from 3 to 2.5%. Addition of a two-layer neural network filter to the database fragment selection process forms the basis for a new program, TALOS+, which further enhances the prediction rate to 88.5%, without increasing the error rate. Excluding the 2.5% of residues for which TALOS+ makes predictions that strongly differ from those observed in the crystalline state, the accuracy of predicted phi and psi angles, equals +/-13 degrees . Large discrepancies between predictions and crystal structures are primarily limited to loop regions, and for the few cases where multiple X-ray structures are available such residues are often found in different states in the different structures. The TALOS+ output includes predictions for individual residues with missing chemical shifts, and the neural network component of the program also predicts secondary structure with good accuracy.

Differential requirements of two recA mutants for constitutive SOS expression in Escherichia coli K-12

Background

Repairing DNA damage begins with its detection and is often followed by elicitation of a cellular response. In E. coli, RecA polymerizes on ssDNA produced after DNA damage and induces the SOS Response. The RecA-DNA filament is an allosteric effector of LexA auto-proteolysis. LexA is the repressor of the SOS Response. Not all RecA-DNA filaments, however, lead to an SOS Response. Certain recA mutants express the SOS Response (recA^C) in the absence of external DNA damage in log phase cells.

Methodology/Principal Findings

Genetic analysis of two recA^C mutants was used to determine the mechanism of constitutive SOS (SOS^C) expression in a population of log phase cells using fluorescence of single cells carrying an SOS reporter system (sulAp-gfp). SOS^C expression in recA4142 mutants was dependent on its initial level of transcription, recBCD, recFOR, recX, dinI, xthA and the type of medium in which the cells were grown. SOS^C expression in recA730 mutants was affected by none of the mutations or conditions tested above.

Conclusions/Significance

It is concluded that not all recA^C alleles cause SOS^C expression by the same mechanism. It is hypothesized that RecA4142 is loaded on to a double-strand end of DNA and that the RecA filament is stabilized by the presence of DinI and destabilized by RecX. RecFOR regulate the activity of RecX to destabilize the RecA filament. RecA730 causes SOS^C expression by binding to ssDNA in a mechanism yet to be determined.

Molecular Design and Functional Organization of the RecA Protein

The bacterial RecA protein participates in a remarkably diverse set of functions, all of which are involved in the maintenance of genomic integrity. RecA is a central component in both the catalysis of recombinational DNA repair and the regulation of the cellular SOS response. Despite the mechanistic differences of its functions, all require formation of an active RecA/ATP/DNA complex. RecA is a classic allosterically regulated enzyme, and ATP binding results in a dramatic increase in DNA binding affinity and a cooperative assembly of RecA subunits to form an ordered, helical nucleoprotein filament. The molecular events that underlie this ATP-induced structural transition are becoming increasingly clear. This review focuses on descriptions of our current understanding of the molecular design and allosteric regulation of RecA. We present a comprehensive list of all published recA mutants and use the results of various genetic and biochemical studies, together with available structural information, to develop ideas regarding the design of RecA functional domains and their catalytic organization.

Molecular mimicry: structural camouflage of proteins and nucleic acids

When it comes to protein specificity and function their three-dimensional structure is the ultimate determinant. Thus, sequences that participate in key parts, such as catalytic sites or DNA binding have been favored and maintained highly conserved during evolution. However, in a reversal of fortune, selection has favored conservation of shapes over sequence, especially when proteins look like nucleic acids. Proteins from pathogens evade the host's defenses because they are shaped as DNA; others use such a disguise for transcriptional regulation. Several factors are tRNA look-alikes so that they can efficiently control the process of protein synthesis. Molecular mimicry among RNAs could result in a new unexplored level in gene regulation. This comprehensive review outlines this important area and aims to emphasize that molecular mimicry could in fact be more widespread than initially thought and eventually adds a new layer of genetic regulation.

Periodicity, planarity, and pixel (3P): a program using the intrinsic residual dipolar coupling periodicity-to-peptide plane correlation and phi/psi angles to derive protein backbone structures

We present a detailed description of a theory and a program called 3P. "3P" stands for periodicity, planarity, and pixel. The 3P program is based on the intrinsic periodic correlations between residual dipolar couplings (RDCs) and in-plane internuclear vectors, and between RDCs and the orientation of peptide planes relative to an alignment tensor. The program extracts accurate rhombic, axial components of the alignment tensor without explicit coordinates, and discrete peptide plane orientations, which are utilized in combination with readily available phi/psi angles to determine the three-dimensional backbone structures of proteins. The 3P program uses one alignment tensor. We demonstrate the utility and robustness of the program, using both experimental and synthetic data sets, which were added with different levels of noise or were incomplete. The program is interfaced to Xplor-NIH via a "3P" module and is available to the public. The limitations and differences between our program and existing methods are also discussed.

Regulation of bacterial RecA protein function

The RecA protein is a recombinase functioning in recombinational DNA repair in bacteria. RecA is regulated at many levels. The expression of the recA gene is regulated within the SOS response. The activity of the RecA protein itself is autoregulated by its own C-terminus. RecA is also regulated by the action of other proteins. To date, these include the RecF, RecO, RecR, DinI, RecX, RdgC, PsiB, and UvrD proteins. The SSB protein also indirectly affects RecA function by competing for ssDNA binding sites. The RecO and RecR, and possibly the RecF proteins, all facilitate RecA loading onto SSB-coated ssDNA. The RecX protein blocks RecA filament extension, and may have other effects on RecA activity. The DinI protein stabilizes RecA filaments. The RdgC protein binds to dsDNA and blocks RecA access to dsDNA. The PsiB protein, encoded by F plasmids, is uncharacterized, but may inhibit RecA in some manner. The UvrD helicase removes RecA filaments from RecA. All of these proteins function in a network that determines where and how RecA functions. Additional regulatory proteins may remain to be discovered. The elaborate regulatory pattern is likely to be reprised for RecA homologues in archaeans and eukaryotes.

DinI and RecX modulate RecA?DNA structures in Escherichia coli K-12

RecA plays a central role in recombination, DNA repair and SOS induction through forming a RecA-DNA helical filament. Biochemical observations show that at low ratios to RecA, DinI and RecX stabilize and destabilize RecA-DNA filaments, respectively, and that the C-terminal 17 residues of RecA are important for RecX function. RecA-DNA filament formation was assayed in vivo using RecA-GFP foci formation in log-phase and UV-irradiated cells. In log-phase cells, dinI mutants have fewer foci than wild type and that recX mutants have more foci than wild type. A recADelta17::gfp mutant had more foci like a recX mutant. dinI recX double mutants have the same number of foci as dinI mutants alone, suggesting that dinI is epistatic to recX. After UV treatment, the dinI, recX and dinI recX mutants differed in their ability to form foci. All three mutants had fewer foci than wild type. The dinI mutant's foci persisted longer than wild-type foci. Roles of DinI and RecX after UV treatment differed from those during log-phase growth and may reflect the different DNA substrates, population of proteins or amounts during the SOS response. These experiments give new insight into the roles of these proteins.

DNA mimicry by proteins and the control of enzymatic activity on DNA

Cells are unable to perform any function on their DNA in the absence of proteins, and it is of vital importance that these proteins only perform their function at appropriate times during the cell cycle. Thus, DNA-binding proteins are always controlled by a wide range of other factors, primarily other proteins. These controlling factors usually block access of the protein to the DNA, often operating by simple competitive inhibition. However, it has recently been demonstrated that DNA-binding proteins can be controlled by the direct binding of the control protein to the DNA-binding site on the first protein. The structures of these control proteins have revealed that they mimic the structure and electrostatics of DNA. This review highlights the roles of DNA mimics in the control of DNA-binding proteins, suggests other possible candidate proteins using DNA mimicry, and puts forward a range of potential uses of DNA mimics.

DNA mimicry by proteins

It has been discovered recently, via structural and biophysical analyses, that proteins can mimic DNA structures in order to inhibit proteins that would normally bind to DNA. Mimicry of the phosphate backbone of DNA, the hydrogen-bonding properties of the nucleotide bases and the bending and twisting of the DNA double helix are all present in the mimics discovered to date. These mimics target a range of proteins and enzymes such as DNA restriction enzymes, DNA repair enzymes, DNA gyrase and nucleosomal and nucleoid-associated proteins. The unusual properties of these protein DNA mimics may provide a foundation for the design of targeted inhibitors of DNA-binding proteins.

Protein mimicry of DNA and pathway regulation

The discoveries of DNA mimicry by proteins inspired by Ugi experiments led by Dale Mosbaugh and his colleagues have sparked dramatic insights for our understanding of DNA and protein interactions. Currently only a small number protein mimics of DNA are known or suspected, including Ugi, HI1450, Ocr, TAF1, MfpA, and Dinl. These proteins are structurally diverse, but together they share common themes we define here. These mimics tend to resemble distorted rather than normal B-DNA, possibly to prevent cross-reactions with other DNA metabolizing proteins that should not be inhibited. Side-chain carboxylates of glutamates and aspartates functionally replace phosphates and thereby generate an overall charge pattern resembling the DNA phosphate backbone. Most protein mimics of DNA have strikingly hydrophobic cores that likely stabilize the protein fold despite substantial charge localization and a relatively small internal volume enforced by the restrictions from DNA size. These common characteristics for protein mimicry of DNA should prove useful for future identifications of DNA mimics, which seem likely to be found in bacteriophages, conjugative plasmids, eukaryotic viruses, and transcription machinery. We also suggest approaches to the design of novel DNA mimics to inhibit specific pathways and could be important for basic science applications and for use as therapeutic agents. Moreover, mimicry in general is of critical importance in that it provides an elegant mechanism by which interfaces can be reused to force sequential rather than simultaneous complex formations such as seen in systems involving polar protein assemblies and DNA repair machinery.

Validating the use of database potentials in protein structure determination by NMR

The refinement of protein structures determined by nuclear magnetic resonance spectroscopy against database potentials of mean force allows for the exclusion of unfavourable conformations of the protein backbone during a structure calculation, resulting in protein structures with a marked improvement in Ramachandran statistics. In this communication, we use multiple sets of residual dipolar couplings as quality assessment criteria for several proteins and show that not only do the Ramachandran and structural quality statistics improve, but a significant improvement in the accuracy of structures is achieved upon refinement.

Prediction of charge-induced molecular alignment of biomolecules dissolved in dilute liquid-crystalline phases

Alignment of macromolecules in nearly neutral aqueous lyotropic liquid-crystalline media such as bicelles, commonly used in macromolecular NMR studies, can be predicted accurately by a steric obstruction model (Zweckstetter and Bax, 2000). A simple extension of this model is described that results in improved predictions for both the alignment orientation and magnitude of protein and DNA solutes in charged nematic media, such as the widely used medium of filamentous phage Pf1. The extended model approximates the electrostatic interaction between a solute and an ordered phage particle as that between the solute's surface charges and the electric field of the phage. The model is evaluated for four different proteins and a DNA oligomer. Results indicate that alignment in charged nematic media is a function not only of the solute's shape, but also of its electric multipole moments of net charge, dipole, and quadrupole. The relative importance of these terms varies greatly from one macromolecule to another, and evaluation of the experimental data indicates that these terms scale differently with ionic strength. For several of the proteins, the calculated alignment is sensitive to the precise position of the charged groups on the protein surface. This suggests that NMR alignment measurements can potentially be used to probe protein electrostatics. Inclusion of electrostatic interactions in addition to steric effects makes the extended model applicable to all liquid crystals used in biological NMR to date.

Molecular Fragment Replacement Approach to Protein Structure Determination by Chemical Shift and Dipolar Homology Database Mining

A novel approach is described for determining backbone structures of proteins that is based on finding fragments in the protein data bank (PDB). For each fragment in the target protein, usually chosen to be 7-10 residues in length, PDB fragments are selected that best fit to experimentally determined one-bond heteronuclear dipolar couplings and that show agreement between chemical shifts predicted for the PDB fragment and experimental values for the target fragment. These fragments are subsequently refined by simulated annealing to improve agreement with the experimental data. If the lowest-energy refined fragments form a unique structural cluster, this structure is accepted and side chains are added on the basis of a conformational database potential. The sequential backbone assembly process extends the chain by translating an accepted fragment onto it. For several small proteins, with extensive sets of dipolar couplings measured in two alignment media, a unique final structure is obtained that agrees well with structures previously solved by conventional methods. With less dipolar input data, large, oriented fragments of each protein are obtained, but their relative positioning requires either a small set of translationally restraining nuclear Overhauser enhancements (NOEs) or a protocol that optimizes burial of hydrophobic groups and pairing of beta-strands.

Reinvestigation by phosphorus NMR of lipid distribution in bicelles

Mixtures of dimyristoyl-phosphatidylcholine (DMPC) and dihexanoyl-phosphatidylcholine (DHPC) in water form disks also called bicelles and different bilayer organizations when the mol ratio of the two lipids and the temperature are varied. The spontaneous alignment in a magnetic field of these bilayers above the transition temperature T(m) of DMPC is an attractive property that was successfully used to investigate protein structure by NMR. In this article, we have attempted to give an overview of all structural transformations of DMPC/DHPC mixtures that can be inferred from broad band (31)P-NMR spectroscopy between 5 and 60 degrees C. We show that above a critical temperature, T(v), perforated vesicles progressively replace alignable structures. The holes in these vesicles disappear above a new temperature threshold, T(h). The driving force for these temperature-dependent transformations that has been overlooked in previous studies is the increase of DHPC miscibility in the bilayer domain above T(m). Accordingly, we propose a new model (the "mixed bicelle" model) that emphasizes the consequence of the mixing. This investigation shows that the various structures of DMPC in the presence of increasing mol ratios of the short-chain DHPC is reminiscent of the observation put forward by several laboratories investigating solubilization and reconstitution of biological membranes.

Inhibition of the Escherichia coli RecA protein: zinc(II), copper(II) and mercury(II) trap RecA as inactive aggregates

In bacteria, the RecA protein plays important roles in a number of DNA recombination and repair processes, including homologous recombination, SOS induction and recombinational DNA repair. We have explored the idea that the Escherichia coli RecA protein's functions could be controlled by small molecules. We investigated the 2:1 complex of zinc(II) with 1,4-dithio-l-threitol (l-DTT) that inhibits the E. coli rho transcription terminator, which is a hexameric ATP motor protein and is structurally homologous to RecA. We found that both the complex and ZnCl(2) inhibit the single-stranded DNA-dependent ATPase activity of RecA at sub-millimolar concentrations. Investigation of a variety of metal dications (0.4 mM final concentration) determined that zinc(II), copper(II) and mercury(II) all induce the precipitation of RecA, while the dichloride salts of calcium, manganese, barium, cobalt, and nickel do not. The inhibition of RecA activity by Zn(II), Cu(II) and Hg(II) results from the metal-dependent initiation of RecA aggregation. These observations may have implications for the design of biophysical experiments requiring solid-phase RecA protein, for a more complete understanding of metal toxicities, and for the design of metal-chelate inhibitors of prokaryotic DNA repair.

Direct observation and characterization of DMPC/DHPC aggregates under conditions relevant for biological solution NMR

We have used cryo-transmission electron microscopy (cryo-TEM) for inspection of aggregates formed by dimyristoylphosphatidylcholine (DMPC) and dihexanoylphosphatidylcholine (DHPC) in aqueous solution at total phospholipid concentrations cL < or = 5% and DMPC/DHPC ratios q < or = 4.0. In combination with ocular inspections, we are able to sketch out this part of phase-diagram at T = 14-80 degrees C. The temperature and the ratio q are the dominating variables for changing sample morphology, while cL to a lesser extent affects the aggregate structure. At q = 0.5, small, possibly disc-shaped, aggregates with a diameter of approximately 6 nm are formed. At higher q-values, distorted discoidal micelles that tend to short cylindrical micelles are observed. The more well-shaped discs have a diameter of around 20 nm. Upon increasing q or the temperature, long slightly flattened cylindrical micelles that eventually branch are formed. A holey lamellar phase finally appears upon further elevation of q or temperature. The implications for biological NMR work are two. First, discs prepared as membrane mimics are frequently much smaller than predicted by current "ideal bicelle" models. Second, the q approximately 3 preparations used for aligning water-soluble biomolecules in magnetic fields consist of perforated lamellar sheets. Furthermore, the discovered sequence of morphological transitions may have important implications for the development of bicelle-based membrane protein crystallization methods.

NMR structural studies of domain 1 of receptor-associated protein

The 39 kDa receptor-associated protein (RAP) is an endoplasmic reticulum resident protein that binds tightly to the low-density lipoprotein receptor-related protein (LRP) as well as to other members of the low-density lipoprotein receptor superfamily. The association of RAP with LRP prevents this receptor from interacting with ligands. RAP is a three-domain protein that contains two independent LRP binding sites; one located within domains 1 and 2, and one located within domain 3. As the first step toward defining the structure of the full-length protein and understanding the interaction between RAP and this family of receptors, we have determined the 3D structure of domain 1 using constraints derived from heteronuclear multi-dimensional NMR spectra, including NOEs, dihedral angles, J-couplings and chemical shifts, as well as two sets of non-correlated residual dipolar couplings measured from the protein solutions in anisotropic media of Pf1 and 6% polyacrylamide gel. The backbone C(alpha) rmsd between the current structure and a homo-nuclear NOE-based structure is about 2 A. The large rmsd mainly reflects the significant differences in helical orientation and in the structural details of the long helix (helix 2) between the two structures.

Characterization of phospholipid mixed micelles by translational diffusion

The concentration dependence of the translational self diffusion rate, D (s), has been measured for a range of micelle and mixed micelle systems. Use of bipolar gradient pulse pairs in the longitudinal eddy current delay experiment minimizes NOE attenuation and is found critical for optimizing sensitivity of the translational diffusion measurement of macromolecules and aggregates. For low volume fractions Phi (Phi\\ le 15% v/v) of the micelles, experimental measurement of the concentration dependence, combined with use of the D (s)= D (o)(1-3.2lambdaPhi) relationship, yields the hydrodynamic volume. For proteins, the hydrodynamic volume, derived from D (s) at infinitely dilute concentration, is found to be about 2.6 times the unhydrated molecular volume. Using the data collected for hen egg white lysozyme as a reference, diffusion data for dihexanoyl phosphatidylcholine (DHPC) micelles indicate approximately 27 molecules per micelle, and a critical micelle concentration of 14 mM. Differences in translational diffusion rates for detergent and long chain phospholipids in mixed micelles are attributed to rapid exchange between free and micelle-bound detergent. This difference permits determination of the free detergent concentration, which, for a high detergent to long chain phospholipid molar ratio, is found to depend strongly on this ratio. The hydrodynamic volume of DHPC/POPC bicelles, loaded with an M2 channel peptide homolog, derived from translational diffusion, predicts a rotational correlation time that slightly exceeds the value obtained from peptide (15)N relaxation data.

The pKO2 linear plasmid prophage of Klebsiella oxytoca

Temperate bacteriophages with plasmid prophages are uncommon in nature, and of these only phages N15 and PY54 are known to have a linear plasmid prophage with closed hairpin telomeres. We report here the complete nucleotide sequence of the 51,601-bp Klebsiella oxytoca linear plasmid pKO2, and we demonstrate experimentally that it is also a prophage. We call this bacteriophage phiKO2. An analysis of the 64 predicted phiKO2 genes indicate that it is a fairly close relative of phage N15; they share a mosaic relationship that is typical of different members of double-stranded DNA tailed-phage groups. Although the head, tail shaft, and lysis genes are not recognizably homologous between these phages, other genes such as the plasmid partitioning, replicase, prophage repressor, and protelomerase genes (and their putative targets) are so similar that we predict that they must have nearly identical DNA binding specificities. The phiKO2 virion is unusual in that its phage lambda-like tails have an exceptionally long (3,433 amino acids) central tip tail fiber protein. The phiKO2 genome also carries putative homologues of bacterial dinI and umuD genes, both of which are involved in the host SOS response. We show that these divergently transcribed genes are regulated by LexA protein binding to a single target site that overlaps both promoters.

Protein structure prediction using sparse dipolar coupling data

Residual dipolar coupling (RDC) represents one of the most exciting emerging NMR techniques for protein structure studies. However, solving a protein structure using RDC data alone is still a highly challenging problem. We report here a computer program, RDC-PROSPECT, for protein structure prediction based on a structural homolog or analog of the target protein in the Protein Data Bank (PDB), which best aligns with the (15)N-(1)H RDC data of the protein recorded in a single ordering medium. Since RDC-PROSPECT uses only RDC data and predicted secondary structure information, its performance is virtually independent of sequence similarity between a target protein and its structural homolog/analog, making it applicable to protein targets beyond the scope of current protein threading techniques. We have tested RDC-PROSPECT on all (15)N-(1)H RDC data (representing 43 proteins) deposited in the BioMagResBank (BMRB) database. The program correctly identified structural folds for 83.7% of the target proteins, and achieved an average alignment accuracy of 98.1% residues within a four-residue shift.

Rapid protein fold determination using unassigned NMR data

Experimental structure determination by x-ray crystallography and NMR spectroscopy is slow and time-consuming compared with the rate at which new protein sequences are being identified. NMR spectroscopy has the advantage of rapidly providing the structurally relevant information in the form of unassigned chemical shifts (CSs), intensities of NOESY crosspeaks [nuclear Overhauser effects (NOEs)], and residual dipolar couplings (RDCs), but use of these data are limited by the time and effort needed to assign individual resonances to specific atoms. Here, we develop a method for generating low-resolution protein structures by using unassigned NMR data that relies on the de novo protein structure prediction algorithm, rosetta [Simons, K. T., Kooperberg, C., Huang, E. & Baker, D. (1997) J. Mol. Biol. 268, 209-225] and a Monte Carlo procedure that searches for the assignment of resonances to atoms that produces the best fit of the experimental NMR data to a candidate 3D structure. A large ensemble of models is generated from sequence information alone by using rosetta, an optimal assignment is identified for each model, and the models are then ranked based on their fit with the NMR data assuming the identified assignments. The method was tested on nine protein sequences between 56 and 140 amino acids and published CS, NOE, and RDC data. The procedure yielded models with rms deviations between 3 and 6 A, and, in four of the nine cases, the partial assignments obtained by the method could be used to refine the structures to high resolution (0.6-1.8 A) by repeated cycles of structure generation guided by the partial assignments, followed by reassignment using the newly generated models.

A conserved oligomerization domain in drosophila Bazooka/PAR-3 is important for apical localization and epithelial polarity

The PAR-3/PAR-6/aPKC complex is required to establish polarity in many different cell types, including the C. elegans zygote and epithelial and neuronal cells in Drosophila and mammals. In each context, the components of this complex display a mutually dependent asymmetric cortical localization. PAR-6 is a direct effector of Rho family GTPases and binds to and regulates aPKC. Mammalian PAR-3 (mPar3) can associate with transmembrane proteins and may link the complex to the membrane, but this can account for only part of the requirement for this protein in the complex. Here we investigate the function of a novel conserved domain, CR1, of PAR-3 using computational, biochemical, and genetic approaches. Sequence-structure comparison by FUGUE predicts that CR1 has the same structural fold as a bacterial oligomerization domain. We show that CR1 of the Drosophila homolog, Bazooka (BAZ), mediates oligomerization in vitro and in vivo. Furthermore, deletion of CR1 disrupts BAZ localization in both epithelial cells and the germline and strongly impairs BAZ function in epithelial polarity. These results indicate that this domain is important for the localization and activity of the PAR-3/PAR6/aPKC complex and define a new role for PAR-3 in assembling higher order protein complexes.

Dipolar Waves as NMR maps of helices in proteins

Dipolar Waves describe the periodic variation in the magnitudes of dipolar couplings in the backbone of a protein as a function of residue number. They provide a direct link between experimental measurements of dipolar couplings in aligned samples and the periodicity inherent in regular secondary structure elements. It is possible to identify the residues in a helix and the type of helix, deviations from ideality, and to orient the helices relative to an external axis in completely aligned samples and relative to each other in a common frame in weakly aligned samples with Dipolar Waves. They provide a tool for accurately describing helices and a step towards high throughput structure determination of proteins.

PROSHIFT: protein chemical shift prediction using artificial neural networks

The importance of protein chemical shift values for the determination of three-dimensional protein structure has increased in recent years because of the large databases of protein structures with assigned chemical shift data. These databases have allowed the investigation of the quantitative relationship between chemical shift values obtained by liquid state NMR spectroscopy and the three-dimensional structure of proteins. A neural network was trained to predict the (1)H, (13)C, and (15)N of proteins using their three-dimensional structure as well as experimental conditions as input parameters. It achieves root mean square deviations of 0.3 ppm for hydrogen, 1.3 ppm for carbon, and 2.6 ppm for nitrogen chemical shifts. The model reflects important influences of the covalent structure as well as of the conformation not only for backbone atoms (as, e.g., the chemical shift index) but also for side-chain nuclei. For protein models with a RMSD smaller than 5 A a correlation of the RMSD and the r.m.s. deviation between the predicted and the experimental chemical shift is obtained. Thus the method has the potential to not only support the assignment process of proteins but also help with the validation and the refinement of three-dimensional structural proposals. It is freely available for academic users at the PROSHIFT server: www.jens-meiler.de/proshift.html

An NMR study on the interaction of Escherichia coli DinI with RecA-ssDNA complexes

The SOS response, a set of cellular phenomena exhibited by eubacteria, is initiated by various causes that include DNA damage-induced replication arrest, and is positively regulated by the co- protease activity of RecA. Escherichia coli DinI, a LexA-regulated SOS gene product, shuts off the initiation of the SOS response when overexpressed in vivo. Biochemical and genetic studies indicated that DinI physically interacts with RecA to inhibit its co-protease activity. Using nuclear magnetic resonance (NMR) spectroscopy, we show that DinI tightly binds to the central region of RecA (between the N- and C-terminal domains) and that this interaction is enhanced upon the oligomerisation of RecA. On the other hand, DinI did not inhibit the interaction between 4mer single-stranded (ss)DNA and RecA- ATPgammaS, but had a slight effect on the structure of ssDNA-RecA-ATPgammaS complexes involving 8mer and 12mer ssDNA. We hypothesise that prevention of repressor binding to the intermolecular cleft region of RecA protomers by DinI, with the possibility of a slight conformational change induced in the DinI-bound ssDNA-RecA-ATPgammaS complex, together function to inhibit the co-protease activity of RecA.

Weak alignment offers new NMR opportunities to study protein structure and dynamics

Protein solution nuclear magnetic resonance (NMR) can be conducted in a slightly anisotropic environment, where the orientational distribution of the proteins is no longer random. In such an environment, the large one-bond internuclear dipolar interactions no longer average to zero and report on the average orientation of the corresponding vectors relative to the magnetic field. The desired very weak ordering, on the order of 10(-3), can be induced conveniently by the use of aqueous nematic liquid crystalline suspensions or by anisotropically compressed hydrogels. The resulting residual dipolar interactions are scaled down by three orders of magnitude relative to their static values, but nevertheless can be measured at high accuracy. They are very precise reporters on the average orientation of bonds relative to the molecular alignment frame, and they can be used in a variety of ways to enrich our understanding of protein structure and function. Applications to date have focused primarily on validation of structures, determined by NMR, X-ray crystallography, or homology modeling, and on refinement of structures determined by conventional NMR approaches. Although de novo structure determination on the basis of dipolar couplings suffers from a severe multiple minimum problem, related to the degeneracy of dipolar coupling relative to inversion of the internuclear vector, a number of approaches can address this problem and potentially can accelerate the NMR structure determination process considerably. In favorable cases, where large numbers of dipolar couplings can be measured, inconsistency between measured values can report on internal motions.

Answering the Call: Coping with DNA Damage at the Most Inopportune Time

DNA damage incurred during the process of chromosomal replication has a particularly high possibility of resulting in mutagenesis or lethality for the cell. The SOS response of Escherichia coli appears to be well adapted for this particular situation and involves the coordinated up-regulation of genes whose products center upon the tasks of maintaining the integrity of the replication fork when it encounters DNA damage, delaying the replication process (a DNA damage checkpoint), repairing the DNA lesions or allowing replication to occur over these DNA lesions, and then restoring processive replication before the SOS response itself is turned off. Recent advances in the fields of genomics and biochemistry has given a much more comprehensive picture of the timing and coordination of events which allow cells to deal with potentially lethal or mutagenic DNA lesions at the time of chromosomal replication.