Nejvíce citovaný článek - PubMed ID 32406923
A unified dinucleotide alphabet describing both RNA and DNA structures
The transition from B-DNA to A-DNA occurs in many protein-DNA interactions or in DNA/RNA hybrid duplexes, and thus plays a role in many important biomolecular processes that convey the biological function of DNA. However, the stability of A-DNA is severely underestimated in current AMBER force fields such as OL15, OL21 or bsc1, potentially leading to unstable or deformed protein-DNA complexes. In this study, we refine the deoxyribose dihedral potential to increase the stability of the north (N) puckering present in A-DNA. The new parameters, termed OL24, model A/B equilibrium in B-DNA duplexes in water in good agreement with nuclear magnetic resonance (NMR) experiment. They also improve the description of DNA/RNA hybrids and the transition of the DNA duplex to the A-form in concentrated ethanol solutions. These refinements significantly improve the modeling of protein-DNA complexes, increasing their structural stability and A-form population, while maintaining accurate representation of canonical B-DNA duplexes. Overall, the new parameters should allow more reliable modeling of the thermodynamic equilibrium between A- and B-DNA forms and the interactions of DNA with proteins.
The SorC family of transcriptional regulators plays a crucial role in controlling the carbohydrate metabolism and quorum sensing. We employed an integrative approach combining X-ray crystallography and cryo-electron microscopy to investigate architecture and functional mechanism of two prototypical representatives of two sub-classes of the SorC family: DeoR and CggR from Bacillus subtilis. Despite possessing distinct DNA-binding domains, both proteins form similar tetrameric assemblies when bound to their respective DNA operators. Structural analysis elucidates the process by which the CggR-regulated gapA operon is derepressed through the action of two effectors: fructose-1,6-bisphosphate and newly confirmed dihydroxyacetone phosphate. Our findings provide the first comprehensive understanding of the DNA binding mechanism of the SorC-family proteins, shedding new light on their functional characteristics.
- MeSH
- Bacillus subtilis * genetika metabolismus MeSH
- bakteriální proteiny * chemie metabolismus genetika MeSH
- DNA bakterií metabolismus chemie genetika MeSH
- DNA vazebné proteiny chemie metabolismus genetika MeSH
- DNA chemie metabolismus MeSH
- elektronová kryomikroskopie * MeSH
- fruktosadifosfáty MeSH
- krystalografie rentgenová MeSH
- molekulární modely * MeSH
- multimerizace proteinu MeSH
- operon genetika MeSH
- regulace genové exprese u bakterií MeSH
- represorové proteiny * chemie metabolismus genetika MeSH
- vazba proteinů MeSH
- vazebná místa MeSH
- Publikační typ
- časopisecké články MeSH
- Názvy látek
- bakteriální proteiny * MeSH
- DNA bakterií MeSH
- DNA vazebné proteiny MeSH
- DNA MeSH
- fructose-1,6-diphosphate MeSH Prohlížeč
- fruktosadifosfáty MeSH
- represorové proteiny * MeSH
The EMDataResource Ligand Model Challenge aimed to assess the reliability and reproducibility of modeling ligands bound to protein and protein-nucleic acid complexes in cryogenic electron microscopy (cryo-EM) maps determined at near-atomic (1.9-2.5 Å) resolution. Three published maps were selected as targets: Escherichia coli beta-galactosidase with inhibitor, SARS-CoV-2 virus RNA-dependent RNA polymerase with covalently bound nucleotide analog and SARS-CoV-2 virus ion channel ORF3a with bound lipid. Sixty-one models were submitted from 17 independent research groups, each with supporting workflow details. The quality of submitted ligand models and surrounding atoms were analyzed by visual inspection and quantification of local map quality, model-to-map fit, geometry, energetics and contact scores. A composite rather than a single score was needed to assess macromolecule+ligand model quality. These observations lead us to recommend best practices for assessing cryo-EM structures of liganded macromolecules reported at near-atomic resolution.
- MeSH
- beta-galaktosidasa chemie metabolismus MeSH
- COVID-19 virologie MeSH
- elektronová kryomikroskopie * metody MeSH
- Escherichia coli MeSH
- konformace proteinů MeSH
- ligandy MeSH
- molekulární modely * MeSH
- reprodukovatelnost výsledků MeSH
- SARS-CoV-2 MeSH
- Publikační typ
- časopisecké články MeSH
- Názvy látek
- beta-galaktosidasa MeSH
- ligandy MeSH
The revolution in cryo-electron microscopy has resulted in unprecedented power to resolve large macromolecular complexes including viruses. Many methods exist to explain density corresponding to proteins and thus entire protein capsids have been solved at the all-atom level. However methods for nucleic acids lag behind, and no all-atom viral double-stranded DNA genomes have been published at all. We here present a method which exploits the spiral winding patterns of DNA in icosahedral capsids. The method quickly generates shells of DNA wound in user-specified, idealized spherical or cylindrical spirals. For transition regions, the method allows guided semiflexible fitting. For the kuravirus SU10, our method explains most of the density in a semiautomated fashion. The results suggest rules for DNA turns in the end caps under which two discrete parameters determine the capsid inner diameter. We suggest that other kuraviruses viruses may follow the same winding scheme, producing a discrete rather than continuous spectrum of capsid inner diameters. Our software may be used to explain the published density maps of other double-stranded DNA viruses and uncover their genome packaging principles.
Protein radical labeling, like fast photochemical oxidation of proteins (FPOP), coupled to a top-down mass spectrometry (MS) analysis offers an alternative analytical method for probing protein structure or protein interaction with other biomolecules, for instance, proteins and DNA. However, with the increasing mass of studied analytes, the MS/MS spectra become complex and exhibit a low signal-to-noise ratio. Nevertheless, these difficulties may be overcome by protein isotope depletion. Thus, we aimed to use protein isotope depletion to analyze FPOP-oxidized samples by top-down MS analysis. For this purpose, we prepared isotopically natural (IN) and depleted (ID) forms of the FOXO4 DNA binding domain (FOXO4-DBD) and studied the protein-DNA interaction interface with double-stranded DNA, the insulin response element (IRE), after exposing the complex to hydroxyl radicals. As shown by comparing tandem mass spectra of natural and depleted proteins, the ID form increased the signal-to-noise ratio of useful fragment ions, thereby enhancing the sequence coverage by more than 19%. This improvement in the detection of fragment ions enabled us to detect 22 more oxidized residues in the ID samples than in the IN sample. Moreover, less common modifications were detected in the ID sample, including the formation of ketones and lysine carbonylation. Given the higher quality of ID top-down MSMS data set, these results provide more detailed information on the complex formation between transcription factors and DNA-response elements. Therefore, our study highlights the benefits of isotopic depletion for quantitative top-down proteomics. Data are available via ProteomeXchange with the identifier PXD044447.
- MeSH
- DNA MeSH
- ionty MeSH
- izotopy MeSH
- proteiny * analýza MeSH
- tandemová hmotnostní spektrometrie * MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Názvy látek
- DNA MeSH
- ionty MeSH
- izotopy MeSH
- proteiny * MeSH
The EMDataResource Ligand Model Challenge aimed to assess the reliability and reproducibility of modeling ligands bound to protein and protein/nucleic-acid complexes in cryogenic electron microscopy (cryo-EM) maps determined at near-atomic (1.9-2.5 Å) resolution. Three published maps were selected as targets: E. coli beta-galactosidase with inhibitor, SARS-CoV-2 RNA-dependent RNA polymerase with covalently bound nucleotide analog, and SARS-CoV-2 ion channel ORF3a with bound lipid. Sixty-one models were submitted from 17 independent research groups, each with supporting workflow details. We found that (1) the quality of submitted ligand models and surrounding atoms varied, as judged by visual inspection and quantification of local map quality, model-to-map fit, geometry, energetics, and contact scores, and (2) a composite rather than a single score was needed to assess macromolecule+ligand model quality. These observations lead us to recommend best practices for assessing cryo-EM structures of liganded macromolecules reported at near-atomic resolution.
- Publikační typ
- časopisecké články MeSH
- preprinty MeSH
The protein structure prediction problem has been solved for many types of proteins by AlphaFold. Recently, there has been considerable excitement to build off the success of AlphaFold and predict the 3D structures of RNAs. RNA prediction methods use a variety of techniques, from physics-based to machine learning approaches. We believe that there are challenges preventing the successful development of deep learning-based methods like AlphaFold for RNA in the short term. Broadly speaking, the challenges are the limited number of structures and alignments making data-hungry deep learning methods unlikely to succeed. Additionally, there are several issues with the existing structure and sequence data, as they are often of insufficient quality, highly biased and missing key information. Here, we discuss these challenges in detail and suggest some steps to remedy the situation. We believe that it is possible to create an accurate RNA structure prediction method, but it will require solving several data quality and volume issues, usage of data beyond simple sequence alignments, or the development of new less data-hungry machine learning methods.
- MeSH
- deep learning MeSH
- konformace nukleové kyseliny MeSH
- molekulární modely MeSH
- RNA * chemie metabolismus genetika MeSH
- sbalování RNA MeSH
- sekvenční seřazení MeSH
- software MeSH
- strojové učení MeSH
- Publikační typ
- časopisecké články MeSH
- Názvy látek
- RNA * MeSH
Nine new crystal structures of CG-rich DNA 18-mers with the sequence 5'-GGTGGGGGC-XZ-GCCCCACC-3', which are related to the bacterial repetitive extragenic palindromes, are reported. 18-mer oligonucleotides with the central XZ dinucleotide systematically mutated to all 16 sequences show complex behavior in solution, but all ten so far successfully crystallized 18-mers crystallized as A-form duplexes. The refinement protocol benefited from the recurrent use of geometries of the dinucleotide conformer (NtC) classes as refinement restraints in regions of poor electron density. The restraints are automatically generated at the dnatco.datmos.org web service and are available for download. This NtC-driven protocol significantly helped to stabilize the structure refinement. The NtC-driven refinement protocol can be adapted to other low-resolution data such as cryo-EM maps. To test the quality of the final structural models, a novel validation method based on comparison of the electron density and conformational similarity to the NtC classes was employed.
- Klíčová slova
- DNA structure, base pairing, dnatco.datmos.org, structure refinement, structure validation,
- MeSH
- DNA * chemie MeSH
- elektronová kryomikroskopie metody MeSH
- konformace nukleové kyseliny MeSH
- Publikační typ
- časopisecké články MeSH
- Názvy látek
- DNA * MeSH
Water plays an important role in stabilizing the structure of DNA and mediating its interactions. Here, the hydration of DNA was analyzed in terms of dinucleotide fragments from an ensemble of 2727 nonredundant DNA chains containing 41 853 dinucleotides and 316 265 associated first-shell water molecules. The dinucleotides were classified into categories based on their 16 sequences and the previously determined structural classes known as nucleotide conformers (NtCs). The construction of hydrated dinucleotide building blocks allowed dinucleotide hydration to be calculated as the probability of water density distributions. Peaks in the water densities, known as hydration sites (HSs), uncovered the interplay between base and sugar-phosphate hydration in the context of sequence and structure. To demonstrate the predictive power of hydrated DNA building blocks, they were then used to predict hydration in an independent set of crystal and NMR structures. In ten tested crystal structures, the positions of predicted HSs and experimental waters were in good agreement (more than 40% were within 0.5 Å) and correctly reproduced the known features of DNA hydration, for example the `spine of hydration' in B-DNA. Therefore, it is proposed that hydrated building blocks can be used to predict DNA hydration in structures solved by NMR and cryo-EM, thus providing a guide to the interpretation of experimental data and computer models. The data for the hydrated building blocks and the predictions are available for browsing and visualization at the website https://watlas.datmos.org/watna/.
- Klíčová slova
- DNA hydration, WatNA, dinucleotide fragments, knowledge-based prediction, water,
- MeSH
- DNA * chemie MeSH
- konformace nukleové kyseliny MeSH
- nukleotidy MeSH
- voda * chemie MeSH
- Publikační typ
- časopisecké články MeSH
- Názvy látek
- DNA * MeSH
- nukleotidy MeSH
- voda * MeSH
In this review, we describe the creation of the Nucleic Acid Database (NDB) at Rutgers University and how it became a testbed for the current infrastructure of the RCSB Protein Data Bank. We describe some of the special features of the NDB and how it has been used to enable research. Plans for the next phase as the Nucleic Acid Knowledgebase (NAKB) are summarized.
- Klíčová slova
- DNA, RNA, biological structure database, nucleic acid conformation, nucleic acid structures, validation standards,
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
