Structural Patterns and Stabilities of Hydrogen-Bonded Pairs Involving Ribonucleotide Bases and Arginine, Glutamic Acid, or Glutamine Residues of Proteins from Quantum Mechanical Calculations

Pab1 acetylation at K131 decreases stress granule formation in Saccharomyces cerevisiae

Under environmental stress, such as glucose deprivation, cells form stress granules-the accumulation of cytoplasmic aggregates of repressed translational initiation complexes, proteins, and stalled mRNAs. Recent research implicates stress granules in various diseases, such as neurodegenerative diseases, but the exact regulators responsible for the assembly and disassembly of stress granules are unknown. An important aspect of stress granule formation is the presence of posttranslational modifications on core proteins. One of those modifications is lysine acetylation, which is regulated by either a lysine acetyltransferase or a lysine deacetylase enzyme. This work deciphers the impact of lysine acetylation on an essential protein found in Saccharomyces cerevisiae stress granules, poly(A)-binding protein (Pab1). We demonstrated that an acetylation mimic of the lysine residue in position 131 reduces stress granule formation upon glucose deprivation and other stressors such as ethanol, raffinose, and vanillin. We present genetic evidence that the enzyme Rpd3 is the primary candidate for the deacetylation of Pab1-K131. Further, our electromobility shift assay studies suggest that the acetylation of Pab1-K131 negatively impacts poly(A) RNA binding. Due to the conserved nature of stress granules, therapeutics targeting the activity of lysine acetyltransferases and lysine deacetylase enzymes may be a promising route to modulate stress granule dynamics in the disease state.

Alignment of major-groove hydrogen bond arrays uncovers shared information between different DNA sequences that bind the same protein

Protein-DNA binding is of a great interest due to its importance in many biological processes. Previous studies have presented many factors responsible for the recognition and specificity, but understanding the minimal informational requirements for proteins that bind to multiple DNA-sites is still an understudied area of bioinformatics. Here we focus on the hydrogen bonds displayed by the target DNA in the major groove that take part in protein-binding. We show that analyses focused on the base pair identity may overlook key hydrogen bonds. We have developed an algorithm that converts a nucleotide sequence into an array of hydrogen bond donors and acceptors and methyl groups. It then aligns these non-covalent interaction arrays to identify what information is being maintained among multiple DNA sequences. For three different DNA-binding proteins, Lactose repressor, controller protein and λ-CI repressor, we uncovered the minimal pattern of hydrogen bonds that are common amongst all the binding sequences. Notably in the three proteins, key interacting hydrogen bonds are maintained despite nucleobase mutations in the corresponding binding sites. We believe this work will be useful for developing new DNA binding proteins and shed new light on evolutionary relationships.

Understanding the role of non-Watson-Crick base pairs in DNA-protein recognition: Structural and energetic aspects using crystallographic database analysis and quantum chemical calculation

Specific recognition of DNA base sequences by proteins is vital for life-cycles of all organisms. In a large number of crystal structures of protein-DNA complexes, DNA conformation significantly deviates from the canonical B-DNA structure. A key question is whether such alternate conformations exist prior to protein binding and one is selected for complexation or the structure observed is induced by protein binding. Non-canonical base pairs, such as Hoogsteen base pairs, are often observed in crystal structures of protein-DNA complexes. We decided to explore whether the occurrence of such non-canonical base pairs in protein-DNA complexes is induced by the protein or is selected from pre-existing conformations. Detailed quantum chemical calculations with dispersion-corrected density functional theory (DFT-D) indicated that most of the non-canonical base pairs with DNA bases are stable even in the absence of the interacting amino acids. However, the G:G Hoogsteen base pair, which also appears in the telomere structure, appears to be unstable in the absence of other stabilizing agents, such as positively charged amino acids. Thus, the stability of many of the non-canonical base pair containing duplexes may be close to the canonical B-DNA structure and hence energetically accessible in the ground state; suggesting that the selection from pre-existing conformations may be an important mechanism for observed non-canonical base pairs in protein-DNA complexes.

Exploring the Nature of Hydrogen Bonding between RNA and Proteins: A Comprehensive Analysis of RNA : Protein Complexes

A nonredundant dataset of ∼300 high (up to 2.5 Å) resolution X-ray structures of RNA:protein complexes were analyzed for hydrogen bonds between amino-acid residues and canonical ribonucleotides (rNs). The identified 17100 contacts were classified based on the identity (rA, rC, rG or rU) and interacting fragment (base, sugar, or ribose) of the rN, the nature (polar or nonpolar) and interacting moiety (main chain or side chain) of the amino-acid residue, as well as the rN and amino-acid atoms participating in the hydrogen bonding. 80 possible hydrogen-bonding combinations (4 (rNs) X 20 (amino acids)) involve a wide variety of RNA and protein types and are present in multiple occurrences in almost all PDB files. Comparison with the analogously-selected DNA:protein complexes reveals that the absence of 2'-OH group in DNA mainly accounts for the differences in DNA:protein and RNA:protein hydrogen bonding. Search for intrinsically-stable base:amino acid pairs containing single or multiple hydrogen bonds reveals 37 unique pairs, which may act as well-defined RNA:protein interaction motifs. Overall, our work collectively analyzes the largest set of nucleic acid-protein hydrogen bonds to date, and therefore highlights several trends that may help frame structural rules governing the physiochemical characteristics of RNA:protein recognition.

The RBS1 domain of Gemin5 is intrinsically unstructured and interacts with RNA through conserved Arg and aromatic residues

Gemin5 is a multifaceted RNA-binding protein that comprises distinct structural domains, including a WD40 and TPR-like for which the X-ray structure is known. In addition, the protein contains a non-canonical RNA-binding domain (RBS1) towards the C-terminus. To understand the RNA binding features of the RBS1 domain, we have characterized its structural characteristics by solution NMR linked to RNA-binding activity. Here we show that a short version of the RBS1 domain that retains the ability to interact with RNA is predominantly unfolded even in the presence of RNA. Furthermore, an exhaustive mutational analysis indicates the presence of an evolutionarily conserved motif enriched in R, S, W, and H residues, necessary to promote RNA-binding via π-π interactions. The combined results of NMR and RNA-binding on wild-type and mutant proteins highlight the importance of aromatic and arginine residues for RNA recognition by RBS1, revealing that the net charge and the π-amino acid density of this region of Gemin5 are key factors for RNA recognition.

Influence of the Number, Nature and Position of Methyl Posttranscriptional Modifications on Nucleobase Stacking in RNA

DFT calculations are employed to quantify the influence of the presence, number, nature, and position of posttranscriptional methylation on stacking strength of RNA bases. We carry out detailed potential energy scans of the variation in stacking energies with characteristic geometrical parameters in three categories of forty stacked dimers - canonical base homodimers (N||N), methylated base homodimers (mN||mN) and heterodimers of canonical bases and methylated counterparts (N||mN). Our analysis reveals that neutral methylation invariably enhances the stacking of bases. Further, N||mN stacking is stronger than mN||mN stacking and charged N||mN exhibit strongest stacking among all dimers. This indicates that methylations greatly enhance stacking when dispersed in RNA sequences containing identical bases. Comparison of stacks involving singly- and doubly-methylated purines reveal that incremental methylation enhances the stacking in neutral dimers. Although methylation at the carbon position of neutral pyrimidine dimers greatly enhances the stacking, methylation on the 5-membered ring imparts better stacking compared to methylation on the 6-membered ring in adenine dimers. However, methylation at the ring nitrogen (N¹ ) provides better stacking than the amino group (N² ) in guanine dimers. Our results thus highlight subtle structural effects of methylation on RNA base stacking and will enhance our understanding of the physicochemical principles of RNA structure and dynamics.

An ultra-red fluorescent biosensor for highly sensitive and rapid detection of biliverdin

The important role of BV in clinical diagnostics of liver-related diseases has been established in veterinary medicine. However, the sensitivity and selectivity of the current BV assays remain relatively low compromising its wider application in clinical diagnosis. Herein, we developed a rapid and sensitive BV-detecting biosensor based on a novel far-red fluorescent protein smURFP, which produced fluorescence only through specific interaction with its cofactor BV. In our study, the binding of BV to smURFP was then systematically optimized based on the structures of the smURFP + BV complex to increase the sensitivity of our biosensor. A wide linear range from 0 μM to 25 μM was obtained in both chicken and human serum. The limit of detection (LOD) and limit of quantification (LOQ) for BV was as low as 0.4 nM and 1.5 nM in human serum, and 0.4 nM and 1.2 nM in chicken serum. To our knowledge, this is the lowest LOD that has ever been reported for a BV biosensor. Our study sheds light on the biological and clinical analysis of BV.

Variable temperature FTIR spectra of polycrystalline purine nucleobases and estimating strengths of individual hydrogen bonds

In the first part of this work, we report the FTIR spectra of pure NH and isotopically substituted ND (10-15% D and 80-90% D) polycrystalline hypoxanthine, xanthine, adenine and guanine recorded in the 400-4000 cm^-1 range, as a function of temperature (10-300 K). We provide assignments of the stretching and out-of-plane bending amine (NH₂) and imine (NH) bands to the distinct H-bonds present in the crystal, based on the temperature sensitivity and isotopic exchange behavior. Empirical correlations between spectral and thermodynamic or structural parameters enabled us to estimate the energies and lengths of H-bonds in the studied nucleobase crystals and to correlate them with literature data. The empirical H-bonding energies are compared with H-bonding and stacking energies computed for hypoxanthine. In the second part, strategies for using the empirical correlations together with information extracted from quantum mechanical data (in particular from the Bader's quantum theory of atoms in molecules, QTAIM) for the evaluation of hydrogen bonding properties are discussed, and their advantages and drawbacks pointed out. The justification for a cooperative use of quantum-mechanical calculations with empirical spectra-energy correlations is discussed.

Can modified DNA base pairs with chalcogen bonding expand the genetic alphabet? A combined quantum chemical and molecular dynamics simulation study

A comprehensive (DFT and MD) computational study is presented with the goal to design and analyze model chalcogen-bonded modified nucleobase pairs that replace one (i.e., A_XY:T, G:C_XY, G_XY:C) or two (G_XY:C_X'Y', X/X' = S, Se and Y/Y' = F, Cl, Br) Watson-Crick (WC) hydrogen bonds of the canonical A:T or G:C pair with chalcogen bond(s). DFT calculations on 18 base pair combinations that replace one WC hydrogen bond with a chalcogen bond reveal that the bases favorably interact in the gas phase (binding strengths up to -140 kJ mol^-1) and water (up to -85 kJ mol^-1). Although the remaining hydrogen bond(s) exhibits similar characteristics to those in the canonical base pairs, the structural features of the (Y-XO) chalcogen bond(s) change significantly with the identity of X and Y. The 36 doubly-substituted (G_XY:C_X'Y') base pairs have structural deviations from canonical G:C similar to those of the singly-substituted modifications (G:C_XY or G_XY:C). Furthermore, despite the replacement of two strong hydrogen bonds with chalcogen bonds, some G_XY:C_X'Y' pairs possess comparable binding energies (up to -132 kJ mol^-1 in the gas phase and up to -92 kJ mol^-1 in water) to the most stable G:C_XY or G_XY:C pairs, as well as canonical G:C. More importantly, G:C-modified pairs containing X = Se (high polarizability) and Y = F (high electronegativity) are the most stable, with comparable or slightly larger (by up to 13 kJ mol^-1) binding energies than G:C. Further characterization of the chalcogen bonding in all modified base pairs (AIM, NBO and NCI analyses) reveals that the differences in the binding energies of modified base pairs are mainly dictated by the differences in the strengths of their chalcogen bonds. Finally, MD simulations on DNA oligonucleotides containing the most stable chalcogen-bonded base pair from each of the four classifications (A_XY:T, G:C_XY, G_XY:C and G_XY:C_X'Y') reveal that the singly-modified G:C pairs best retain the local helical structure and pairing stability to a greater extent than the modified A:T pair. Overall, our study identifies two (G:C_SeF and G_SeF:C) promising pairs that retain chalcogen bonding in DNA and should be synthesized and further explored in terms of their potential to expand the genetic alphabet.

A quantum chemical view of the interaction of RNA nucleobases and base pairs with the side chains of polar amino acids

Hydrogen bonding between amino acids and nucleobases is important for RNA-protein recognition. As a first step toward understanding the physicochemical features of these contacts, the present work employs density functional theory calculations to critically analyze the intrinsic structures and strength of all theoretically possible model hydrogen-bonded complexes involving RNA nucleobase edges and polar amino acid side chains. Our geometry optimizations uncover a number of unique complexes that involve variable hydrogen-bonding characteristics, including conventional donor-acceptor interactions, bifurcated interactions and single hydrogen-bonded contacts. Further, significant strength of these complexes in the gas phase (-27 kJ mol^-1 to -226 kJ mol^-1) and solvent phase (-19 kJ mol^-1 to -78 kJ mol^-1) points toward the ability of associated contacts to provide stability to RNA-protein complexes. More importantly, for the first time, our study uncovers the features of complexes involving protonated nucleobases, as well as those involving the weakly polar cysteine side chain, and thereby highlights their potential importance in biological processes that involve RNA-protein interactions. Additional analysis on select base pair-amino acid complexes uncovers the ability of amino acid side chain to simultaneously interact with both nucleobases of the base pair, and highlights the greater strength of such interactions compared to base-amino acid interactions. Overall, our analysis provides a basic physicochemical framework for understanding the molecular basis of nucleic acid-protein interactions. Further, our quantum chemical data can be used to design better algorithms for automated search of these contacts at the RNA-protein interface.Communicated by Ramaswamy H. Sarma.