Pressure dependence of side chain <Superscript>13</Superscript>C chemical shifts in model peptides Ac-Gly-Gly-Xxx-Ala-NH<Subscript>2</Subscript>

For evaluating the pressure responses of folded as well as intrinsically unfolded proteins detectable by NMR spectroscopy the availability of data from well-defined model systems is indispensable. In this work we report the pressure dependence of ¹³C chemical shifts of the side chain atoms in the protected tetrapeptides Ac-Gly-Gly-Xxx-Ala-NH₂ (Xxx, one of the 20 canonical amino acids). Contrary to expectation the chemical shifts of a number of nuclei have a nonlinear dependence on pressure in the range from 0.1 to 200 MPa. The size of the polynomial pressure coefficients B ₁ and B ₂ is dependent on the type of atom and amino acid studied. For H^N, N and C^α the first order pressure coefficient B ₁ is also correlated to the chemical shift at atmospheric pressure. The first and second order pressure coefficients of a given type of carbon atom show significant linear correlations suggesting that the NMR observable pressure effects in the different amino acids have at least partly the same physical cause. In line with this observation the magnitude of the second order coefficients of nuclei being direct neighbors in the chemical structure also are weakly correlated. The downfield shifts of the methyl resonances suggest that gauche conformers of the side chains are not preferred with pressure. The valine and leucine methyl groups in the model peptides were assigned using stereospecifically ¹³C enriched amino acids with the pro-R carbons downfield shifted relative to the pro-S carbons.     

Unblocked statistical-coil tetrapeptides in aqueous solution: quantum-chemical computation of the carbon-13 NMR chemical shifts

We recently reported a theoretical characterization of representative ensembles of statistical-coil conformations for tetrapeptides with unblocked termini in aqueous solution, at pH 7. The results showed good agreement between the computed Boltzmann-averaged and experimentally-determined values for both the vicinal coupling constants ³J_NH and the -proton chemical shifts. Here, we carry out a cluster analysis of the ensembles of conformations generated in that study, and use them to compute the Boltzmann-averaged values of the quantum-chemical ¹³C chemical shifts for different amino acids in the unblocked tetrapeptides GGXA (where X stands for Phe, Arg, His, Glu, Ile, Lys, Gln, Tyr, Leu, Thr, Ala, Gly and Val). The values of the ¹³C chemical shifts in these thirteen amino acids (for which experimental data are available) were computed by using Density Functional Theory with a 6–311+G(2d,p) basis set. Good agreement is found in terms of both the correlation coefficient (R) and standard deviations of the difference between the computed Bolztmann-averaged and the NMR-determined values for the ¹³C chemical shifts. These results suggest that it may be possible to build a reliable theoretically-derived database of chemical shifts for statistical-coil residues. The results of the current study contribute to our understanding of the relations between chemical shifts, dihedral angles and vicinal coupling constants, ³J_NH. In addition, they can shed light as to how the statistical-coilconformation is related to the conformational preference of more structured states, such as the -helical conformation.     

A high-resolution 13C-nmr study of collagenlike polypeptides and collagen fibrils in solid state studied by the cross-polarization–magic angle-spinning method. Manifestation of conformation-dependent 13C chemical shifts and application to conformational characterization

We have recorded high-resolution ¹³C-nmr spectra of collagen fibrils in the solid state by the cross-polarization–magic-angle-spinning(CP–MAS)method and analyzed the spectra with reference to those of collagenlike polypeptides. We used two kinds of model polypeptides to obtain reference ¹³C chemical shifts of major amino acid residues of collagen (Gly, Pro, Ala, and Hyp): the 3₁-helical polypeptides [(Gly)_nII, (Pro)_nII, (Hyp)_n, and (Ala? Gly? Gly)_nII], and the triple-helical polypeptides [(Pro? Gly? Pro)_n and (Pro? Ala? Gly)_n]. Examination of the ¹³C chemical shifts of these polypeptides, together with our previous data, showed that the ¹³C chemical shifts of individual amino acid residues are the same, within experimental error (±0.5 ppm), among different polypeptides with different primary sequences, if the conformations are the same. We found that the ¹³C chemical shifts of Ala residues of the 3₁-helical (Ala? Gly? Gly)_n and triple-helical (Pro? Ala? Gly)_n are significantly displaced, compared with those of the α-helix, β-sheet, and silk I form, and can be utilized as excellent probes to examine conformational features of collagen-like polypeptides. Further, the ¹³C chemical shifts of Gly and Pro residues in the triple-helical polypeptides are substantially displaced from those found in (Gly)_nII and (Pro)_nII of the 3₁-helix, reflecting further conformational change from the 3₁-helix to the supercoiled triple helix. In particular, the ¹³C chemical shifts of Gly C ? O carbons of the triple-helical polypeptides are substantially displaced upfield (4.1–5.1 ppm), with respect to those of the 3₁-helical polypeptides. These displacements are interpreted by that Gly C ? O of the former is not involved in NH …? O ? C hydrogen bonds, while this carbon of the latter is linked by these kinds of hydrogen bonds. On the basis of these ¹³C chemical shifts, as reference data for the collagenlike structure, we were able to assign the ¹³C-nmr peaks of Gly, Ala, Pro, and Hyp residues of collagen fibrils, which are in good agreement with the values expected from the model polypeptides mentioned above. We also discuss a plausible conformational change of collagen fibrils during denaturation.     

13C nuclear magnetic resonance study of the complexation of calcium by taurine

¹³C Nuclear magnetic resonance chemical shifts, ¹J_C-C scalar coupling constants, spin-lattice relaxation times, and nuclear Overhauser effects were determined for taurine-[1, 2 ¹³C] and a taurine-[1 ¹³C] and taurine-[2 ¹³C] mixture in the presence and absence of calcium. Ionization constants for taurine amino and sulfonic acid groups and chemical shifts of N-methylene and S-methylene carbons of the taurine cation, zwitterion, and anion were obtained from simultaneous least squares analysis of ¹³C titration curves of both taurine carbons. Comparison of taurine titration shifts to values for related compounds reveals some unusual electronic properties of the taurine molecule. Stability constants of 1:1 calcium complexes with taurine zwitterions and anions, as well as their ¹³C chemical shifts, were obtained by least squares analysis of titration curves measured in the presence of calcium. The stability constants of calcium-taurine complexes were significantly lower than previous values and led to estimates that only approximately one percent of intracellular calcium of mammalian myocardial cells would exist in a taurine complex. The implications of these results with respect to the effect of taurine on calcium ion flux are discussed.     

Practical use of chemical shift databases for protein solid-state NMR: 2D chemical shift maps and amino-acid assignment with secondary-structure information

We introduce a Python-based program that utilizes the large database of ¹³C and ¹⁵N chemical shifts in the Biological Magnetic Resonance Bank to rapidly predict the amino acid type and secondary structure from correlated chemical shifts. The program, called PACSYlite Unified Query (PLUQ), is designed to help assign peaks obtained from 2D ¹³C–¹³C, ¹⁵N–¹³C, or 3D ¹⁵N–¹³C–¹³C magic-angle-spinning correlation spectra. We show secondary-structure specific 2D ¹³C–¹³C correlation maps of all twenty amino acids, constructed from a chemical shift database of 262,209 residues. The maps reveal interesting conformation-dependent chemical shift distributions and facilitate searching of correlation peaks during amino-acid type assignment. Based on these correlations, PLUQ outputs the most likely amino acid types and the associated secondary structures from inputs of experimental chemical shifts. We test the assignment accuracy using four high-quality protein structures. Based on only the Cα and Cβ chemical shifts, the highest-ranked PLUQ assignments were 40–60 % correct in both the amino-acid type and the secondary structure. For three input chemical shifts (CO–Cα–Cβ or N–Cα–Cβ), the first-ranked assignments were correct for 60 % of the residues, while within the top three predictions, the correct assignments were found for 80 % of the residues. PLUQ and the chemical shift maps are expected to be useful at the first stage of sequential assignment, for combination with automated sequential assignment programs, and for highly disordered proteins for which secondary structure analysis is the main goal of structure determination.     

The 13C chemical shifts of amino acids in aqueous solution containing organic solvents: Application to the secondary structure characterization of peptides in aqueous trifluoroethanol solution

Summary The ¹³C chemical shifts for all of the protonated carbons of the 20 common amino acid residues in the protected linear pentapeptide Gly-Gly-X-Gly-Gly have been obtained in water at low pH as well as in aqueous solution containing 10, 20 and 30% acetonitrile or trifluoroethanol. Dioxane was used as an internal reference and its carbon chemical shift value was found to be 66.6 ppm relative to external TMS in water. Comparison of the different referencing methods for ¹³C chemical shifts in organic cosolvent mixtures showed that an external standard (either TMS or TSP capillary) was the most appropriate. In the present study, external TSP was chosen to define the 0 ppm of the ¹³C chemical shift scale. When the difference in referencing the dioxane carbon resonance is taken into account, the carbon chemical shift values of the amino acids in aqueous solution are similar to those previously reported (Richarz and Wüthrich (1978) Biopolymers, 17, 2133–2141; Howarth and Lilley (1979) Prog. NMR Spectrosc., 12, 1–40). The pentapeptides studied were assumed to be in a random coil conformation and the measured ¹³C chemical shifts were used as reference values to correlate carbon chemical shifts with the secondary structure of two well-characterized peptides, bombesin and the 1–29 amino acid fragment of Nle²⁷ human growth hormone-releasing factor. In both cases, the C chemical shifts exhibited a characteristic positive deviation from the random coil values, which indicates the presence of -helices.     

Linear analysis of carbon-13 chemical shift differences and its application to the detection and correction of errors in referencing and spin system identifications

Statistical analysis reveals that the set of differences between the secondary shifts of the α- and β-carbons for residues i of a protein (Δδ¹³C^α_i- Δδ¹³C^β_i) provides the means to detect and correct referencing errors for ¹H and ¹³C nuclei within a given dataset. In a correctly referenced protein dataset, linear regression plots of Δδ¹³C^α_i,Δδ¹³C^β_i, or Δδ¹H^α_i vs. (Δδ¹³C^α_i- Δδ¹³C^β_i) pass through the origin from two directions, the helix-to-coil and strand-to-coil directions. Thus, linear analysis of chemical shifts (LACS) can be used to detect referencing errors and to recalibrate the ¹H and ¹³C chemical shift scales if needed. The analysis requires only that the signals be identified with distinct residue types (intra-residue spin systems). LACS allows errors in calibration to be detected and corrected in advance of sequence-specific assignments and secondary structure determinations. Signals that do not fit the linear model (outliers) deserve scrutiny since they could represent errors in identifying signals with a particular residue, or interesting features such as a cis-peptide bond. LACS provides the basis for the automated detection of such features and for testing reassignment hypotheses. Early detection and correction of errors in referencing and spin system identifications can improve the speed and accuracy of chemical shift assignments and secondary structure determinations. We have used LACS to create a database of offset-corrected chemical shifts corresponding to nearly 1800 BMRB entries: 300 with and 1500 without corresponding three-dimensional (3D) structures. This database can serve as a resource for future analysis of the effects of amino acid sequence and protein secondary and tertiary structure on NMR chemical shifts.Supplementary material to this paper is available in electronic form at http://dx.doi.org/10.1007/s10858-005-1717-0     

The influence of Mg2+ coordination on 13C and 15N chemical shifts in CKI1RD protein domain from experiment and molecular dynamics/density functional theory calculations

Sequence dependence of ¹³C and ¹⁵N chemical shifts in the receiver domain of CKI1 protein from Arabidopsis thaliana, CKI1_RD, and its complexed form, CKI1_RD?Mg²⁺, was studied by means of MD/DFT calculations. MD simulations of a 20–ns production run length were performed. Nine explicitly hydrated structures of increasing complexity were explored, up to a 40‐amino‐acid structure. The size of the model necessary depended on the type of nucleus, the type of amino acid and its sequence neighbors, other spatially close amino acids, and the orientation of amino acid NH groups and their surface/interior position. Using models covering a 10 and a 15 Å environment of Mg²⁺, a semi‐quantitative agreement has been obtained between experiment and theory for the V67?I73 sequence. The influence of Mg²⁺ binding was described better by the 15 Å as compared to the 10 Å model. Thirteen chemical shifts were analyzed in terms of the effect of Mg²⁺ insertion and geometry preparation. The effect of geometry was significant and opposite in sign to the effect of Mg²⁺ binding. The strongest individual effects were found for ¹⁵N of D70, S74, and V68, where the electrostatics dominated; for ¹³Cβ of D69 and ¹⁵N of K76, where the influences were equal, and for ¹³Cα of F72 and ¹³Cβ of K76, where the geometry adjustment dominated. A partial correlation between dominant geometry influence and torsion angle shifts upon the coordination has been observed. Proteins 2016; 84:686–699. © 2016 Wiley Periodicals, Inc.     

1H, 13C and 15N random coil NMR chemical shifts of the common amino acids. I. Investigations of nearest-neighbor effects

Summary In this study we report on the ¹H, ¹³C and ¹⁵N NMR chemical shifts for the random coil state and nearest-neighbor sequence effects measured from the protected linear hexapeptide Gly-Gly-X-Y-Gly-Gly (where X and Y are any of the 20 common amino acids). We present data for a set of 40 peptides (of the possible 400) including Gly-Gly-X-Ala-Gly-Gly and Gly-Gly-X-Pro-Gly-Gly, measured under identical aqueous conditions. Because all spectra were collected under identical experimental conditions, the data from the Gly-Gly-X-Ala-Gly-Gly series provide a complete and internally consistent set of ¹H, ¹³C and ¹⁵N random coil chemical shifts for all 20 common amino acids. In addition, studies were also conducted into nearest-neighbor effects on the random coil shift arising from a variety of X and Y positional substitutions. Comparisons between the chemical shift measurements obtained from Gly-Gly-X-Ala-Gly-Gly and Gly-Gly-X-Pro-Gly-Gly reveal significant systematic shift differences arising from the presence of proline in the peptide sequence. Similarly, measurements of the chemical shift changes occurring for both alanine and proline (i.e., the residues in the Y position) are found to depend strougly on the type of amino acid substituted into the X position. These data lend support to the hypothesis that sequence effects play a significant role in determining peptide and protein chemical shifts.     

Effects of side-chain orientation on the <Superscript>13</Superscript>C chemical shifts of antiparallel β-sheet model peptides

The dependence of the ¹³C chemical shift on side-chain orientation was investigated at the density functional level for a two-strand antiparallel β-sheet model peptide represented by the amino acid sequence Ac-(Ala)₃-X-(Ala)₁₂-NH₂ where X represents any of the 17 naturally occurring amino acids, i.e., not including alanine, glycine and proline. The dihedral angles adopted for the backbone were taken from, and fixed at, observed experimental values of an antiparallel β-sheet. We carried out a cluster analysis of the ensembles of conformations generated by considering the side-chain dihedral angles for each residue X as variables, and use them to compute the ¹³C chemical shifts at the density functional theory level. It is shown that the adoption of the locally-dense basis set approach for the quantum chemical calculations enabled us to reduce the length of the chemical-shift calculations while maintaining good accuracy of the results. For the 17 naturally occurring amino acids in an antiparallel β-sheet, there is (i) good agreement between computed and observed ¹³C^α and ¹³C^β chemical shifts, with correlation coefficients of 0.95 and 0.99, respectively; (ii) significant variability of the computed ¹³C^α and ¹³C^β chemical shifts as a function of χ¹ for all amino acid residues except Ser; and (iii) a smaller, although significant, dependence of the computed ¹³C^α chemical shifts on χ^ξ (with ξ ≥ 2) compared to χ¹ for eleven out of seventeen residues. Our results suggest that predicted ¹³C^α and ¹³C^β chemical shifts, based only on backbone (φ,ψ) dihedral angles from high-resolution X-ray structure data or from NMR-derived models, may differ significantly from those observed in solution if the dihedral-angle preferences for the side chains are not taken into account. Electronic supplementary material Supplementary material is available in the online version of this article at and is accessible for authorized users.     

1H-nmr parameters of the common amino acid residues measured in aqueous solutions of the linear tetrapeptides H-Gly-Gly-X-L-Ala-OH

The ¹H-nmr chemical shifts and the spin–spin coupling constants of the common amino acid residues were measured in solutions of the linear tetrapeptides H-Gly-Gly-X-L -Ala-OH in D₂O and H₂O, the influence of X on the nmr parameters of the neighboring residues Gly 2 and Ala 4 was investigated. The titration parameters for the side chains of Asp, Glu, Lys, Tyr, and His were determined. The pK_a values obtained in D₂O, with the use of pH-meter readings with a combination glass electrode uncorrected for istope effects, were 0.06 pH units higher in the acidic range and 0.10 pH units higher in the basic range than the corresponding pK_a values in H₂O. This suggests that the present data are suitable “random-coil” ¹H-nmr parameters for conformational studies of polypeptide chains in D₂O and H₂O solutions.     

Resonance assignment of 13C/15N labeled solid proteins by two- and three-dimensional magic-angle-spinning NMR

The comprehensive structure determination of isotopically labeled proteins by solid-state NMR requires sequence-specific assignment of ¹³C and ¹⁵ N spectra. We describe several 2D and 3D MAS correlation techniques for resonance assignment and apply them, at 7.0 Tesla, to ¹³C and ¹⁵N labeled ubiquitin to examine the extent of resonance assignments in the solid state. Both interresidue and intraresidue assignments of the ¹³C and ¹⁵N resonances are addressed. The interresidue assignment was carried out by an N(CO)CA technique, which yields N_i-C_i–1 connectivities in protein backbones via two steps of dipolar-mediated coherence transfer. The intraresidue connectivities were obtained from a new 3D NCACB technique, which utilizes the well resolved C chemical shift to distinguish the different amino acids. Additional amino acid type assignment was provided by a ¹³C spin diffusion experiment, which exhibits ¹³C spin pairs as off-diagonal intensities in the 2D spectrum. To better resolve carbons with similar chemical shifts, we also performed a dipolar-mediated INADEQUATE experiment. By cross-referencing these spectra and exploiting the selective and extensive ¹³ C labeling approach, we assigned 25% of the amino acids in ubiquitin sequence-specifically and 47% of the residues to the amino acid types. The sensitivity and resolution of these experiments are evaluated, especially in the context of the selective and extensive ¹³C labeling approach.     

Global fold of human cannabinoid type 2 receptor probed by solid‐state 13C‐, 15N‐MAS NMR and molecular dynamics simulations

The global fold of human cannabinoid type 2 (CB₂) receptor in the agonist‐bound active state in lipid bilayers was investigated by solid‐state ¹³C‐ and ¹⁵N magic‐angle spinning (MAS) NMR, in combination with chemical‐shift prediction from a structural model of the receptor obtained by microsecond‐long molecular dynamics (MD) simulations. Uniformly ¹³C‐ and ¹⁵N‐labeled CB₂ receptor was expressed in milligram quantities by bacterial fermentation, purified, and functionally reconstituted into liposomes. ¹³C MAS NMR spectra were recorded without sensitivity enhancement for direct comparison of C_α, C_β, and C?O bands of superimposed resonances with predictions from protein structures generated by MD. The experimental NMR spectra matched the calculated spectra reasonably well indicating agreement of the global fold of the protein between experiment and simulations. In particular, the ¹³C chemical shift distribution of C_α resonances was shown to be very sensitive to both the primary amino acid sequence and the secondary structure of CB₂. Thus the shape of the C_α band can be used as an indicator of CB₂ global fold. The prediction from MD simulations indicated that upon receptor activation a rather limited number of amino acid residues, mainly located in the extracellular Loop 2 and the second half of intracellular Loop 3, change their chemical shifts significantly (≥1.5 ppm for carbons and ≥5.0 ppm for nitrogens). Simulated two‐dimensional ¹³C_α(i)? ¹³C?O(i) and ¹³C?O(i)? ¹⁵NH(i + 1) dipolar‐interaction correlation spectra provide guidance for selective amino acid labeling and signal assignment schemes to study the molecular mechanism of activation of CB₂ by solid‐state MAS NMR. Proteins 2014; 82:452–465. © 2013 Wiley Periodicals, Inc.     

Comparative analysis of 13C chemical shifts of β-sheet amyloid proteins and outer membrane proteins

Cross-β amyloid fibrils and membrane-bound β-barrels are two important classes of β-sheet proteins. To investigate whether there are systematic differences in the backbone and sidechain conformations of these two families of proteins, here we analyze the ¹³C chemical shifts of 17 amyloid proteins and 7 β-barrel membrane proteins whose high-resolution structures have been determined by NMR. These 24 proteins contain 373 β-sheet residues in amyloid fibrils and 521 β-sheet residues in β-barrel membrane proteins. The ¹³C chemical shifts are shown in 2D ¹³C–¹³C correlation maps, and the amino acid residues are categorized by two criteria: (1) whether they occur in β-strand segments or in loops and turns; (2) whether they are water-exposed or dry, facing other residues or lipids. We also examine the abundance of each amino acid in amyloid proteins and β-barrels and compare the sidechain rotameric populations. The ¹³C chemical shifts indicate that hydrophobic methyl-rich residues and aromatic residues exhibit larger static sidechain conformational disorder in amyloid fibrils than in β-barrels. In comparison, hydroxyl- and amide-containing polar residues have more ordered sidechains and more ordered backbones in amyloid fibrils than in β-barrels. These trends can be explained by steric zipper interactions between β-sheet planes in cross-β fibrils, and by the interactions of β-barrel residues with lipid and water in the membrane. These conformational trends should be useful for structural analysis of amyloid fibrils and β-barrels based principally on NMR chemical shifts.

     

C-nuclear magnetic resonance studies of 85% C-enriched amino acids and small peptides: pH effects on the chemical shifts, coupling constants, kinetics of cis-trans isomerisation and conformation aspects

The ¹³C chemical shifts of several 85% ¹³C-enriched amino acids and small peptides were studied as a function of pH. The results show that the chemical shifts of carbon atoms of ionizable groups vary significantly within the zone of their pK. Generally with the pH going from 7 to 1 all the δC are shifted more or less upfield with the exception of the carbonyl group of the second last residue which is shifted slightly downfield. This suggests the formation of an hydrogen bond at acid pH involving in a seven-membered ring the C=O in question and the COOH terminal.The percentage of cis and trans conformers of glycyl-l-proline and glycyl-l-prolylglycine were studied as a function of pH. The trans form is always preponderant whatever the pH. The accessibility of the carbonyl group to protonation of the proline residue strongly influences the cis-trans equilibrium. Thus, with the pH varying from 7 to 1, the trans isomer changes from 61 to 85% for glycyl-l-proline and only from 77 to 80% for glycyl-l-prolylglycine.The proton NMR studies underline the important differences existing between the two molecular forms of glycyl-l-proline. The cis conformation is characterized with regard to the trans form by the non-equivalence of the α-protons of the glycine residue, by a lower pK₁ and by a larger ΔδH_α of the proline residue as a function of pH. These results could suggest an end-to-end interaction in the cis form of the glycyl-l-proline molecule.The ¹³C-¹³C coupling constants were also studied as a function of pH. The results show that J_Co-Cα of a C-terminal residue, varying from 5 to 6 Hz and reflecting the pK of the carboxylate group, is a linear function of δ_Co and δ_Cα as in the case of the amino acids. The total variation of the electron density of those two carbons in an amino acid is approximately 40% weaker than in a C-terminal residue. The charge distribution along the C_α−C_o bond, however, is practically the same in both cases.Finally the ratios of the conversion rate constants of the two isomers cis-trans of glycyl-proline were calculated at different pH values; the relations between the isomer percentages and δ_Co, δ_Cα on the one hand and the J_Co-Cα on the other were established.     

Random-coil chemical shifts of phosphorylated amino acids

The ¹H, ¹³C, ¹⁵N and ³¹ P random-coil chemical shifts and phosphate pK_a values of the phosphorylated amino acids pSer, pThr and pTyr in the protected peptide Ac-Gly-Gly-X-Gly-Gly-NH₂ have been obtained in water at 25°C over the pH range 2 to 9. Analysis of ROESY spectra indicates that the peptides are unstructured. Phosphorylation induces changes in random-coil chemical shifts, some of which are comparable to those caused by secondary structure formation, and are therefore significant in structural analyses based on the chemical shift.     

Protonation of kanamycin A: Detailing of thermodynamics and protonation sites assignment

Protonation of an aminoglycoside antibiotic kanamycin A sulfate was studied by potentiometric titrations at variable ionic strength, sulfate concentration and temperature. From these results the association constants of differently protonated forms of kanamycin A with sulfate and enthalpy changes for protonation of each amino group were determined. The protonation of all amino groups of kanamycin A is exothermic, but the protonation enthalpy does not correlate with basicity as in a case of simple polyamines. The sites of stepwise protonation of kanamycin A have been assigned by analysis of ¹H-¹³C-HSQC spectra at variable pH in D₂O. Plots of chemical shifts for each H and C atom of kanamycin A vs. pH were fitted to the theoretical equation relating them to pK_a values of ionogenic groups and it was observed that changes in chemical shifts of all atoms in ring C were controlled by ionization of a single amino group with pK_a 7.98, in ring B by ionization of two amino groups with pK_a 6.61 and 8.54, but in ring A all atoms felt ionization of one group with pK_a 9.19 and some atoms felt ionization of a second group with pK_a 6.51, which therefore should belong to amino group at C3 in ring B positioned closer to the ring A while higher pK_a 8.54 can be assigned to the group at C1. This resolves the previously existed uncertainty in assignment of protonation sites in rings B and C.     

Prediction of Xaa-Pro peptide bond conformation from sequence and chemical shifts

We present a program, named Promega, to predict the Xaa-Pro peptide bond conformation on the basis of backbone chemical shifts and the amino acid sequence. Using a chemical shift database of proteins of known structure together with the PDB-extracted amino acid preference of cis Xaa-Pro peptide bonds, a cis/trans probability score is calculated from the backbone and ¹³C^β chemical shifts of the proline and its neighboring residues. For an arbitrary number of input chemical shifts, which may include Pro-¹³C^γ, Promega calculates the statistical probability that a Xaa-Pro peptide bond is cis. Besides its potential as a validation tool, Promega is particularly useful for studies of larger proteins where Pro-¹³C^γ assignments can be challenging, and for on-going efforts to determine protein structures exclusively on the basis of backbone and ¹³C^β chemical shifts.     

Nuclear magnetic resonance studies on pyridine dinucleotides. The pH dependence of the carbon-13 nuclear magnetic resonance of NAD+ analogs.

The pH dependence of the ¹³C chemical shifts for nicotinamide adenine dinucleotide (NAD⁺), thionicotinamide adenine dinucleotide (TNAD⁺), pyridine adenine dinucleotide (PyrAD⁺), N-methyl-nicotinamide adenine dinucleotide (N-Me-NAD⁺), acetylpyridine adenine dinucleotide (AcPyAD⁺), nicotinamide hypoxanthine dinucleotide (NHD⁺), and nicotinamide adenine dinucleotide phosphate (NADP⁺) are reported. In these analogs the ¹³C chemical shifts of the pyridinium moiety reflect the pK_a of the opposing purine base, while the ¹³C chemical shift dependence on pD for the pyridinium carbons of nicotinamide mononucleotide (NMN⁺) and adenosine monophosphate (AMP), 1,4-dihydronicotinamide adenine dinucleotide (NADH), 1,4-dihydronicotinamide adenine dinucleotide phosphate (NADPH), and nicotinic acid adenine dinucleotide (N(a)AD⁺) are not influenced by the adenine ring in the pD range tested. Through the use of ¹³C-labeled NAD⁺, the source of the pH dependence of the ¹³C chemical shifts was shown to be intramolecular in origin. However, serious doubt is cast on the utility of employing the pD dependence of chemical shift data to determine the nature of solution conformers or their relative populations.     

1H, 13C and 15N NMR assignments and secondary structure of the paramagnetic form of rat cytochrome b 5

Summary Modern multidimensional double- and triple-resonance NMR methods have been applied to assign the backbone and side-chain ¹³C resonances for both equilibrium conformers of the paramagnetic form of rat liver microsomal cytochrome b ₅. The assignment of backbone ¹³C resonances was used to confirm previous ¹H and ¹⁵N resonance assignments [Guiles, R.D. et al. (1993) Biochemistry, 32, 8329–8340]. On the basis of short- and medium-range NOEs and backbone ¹³C chemical shifts, the solution secondary structure of rat cytochrome b ₅ has been determined. The striking similarity of backbone ¹³C resonances for both equilibrium forms strongly suggests that the secondary structures of the two isomers are virtually identical. It has been found that the ¹³C chemical shifts of both backbone and side-chain atoms are relatively insensitive to paramagnetic effects. The reliability of such methods in anisotropic paramagnetic systems, where large pseudocontact shifts can be observed, is evaluated through calculations of the magnitude of such shifts.Abbreviations DANTE delays alternating with nutation for tailored excitation - DEAE diethylaminoethyl - DQF-COSY 2D double-quantum-filtered correlation spectroscopy - EDTA ethylenediaminetetraacetic acid - HCCH-TOCSY 3D proton-correlated carbon TOCSY experiment - HMQC 2D heteronuclear multiple-quantum correlation spectroscopy - HNCA 3D triple-resonance experiment correlating amide protons, amide nitrogens and alpha carbons - HNCO 3D triple-resonance experiment correlating amide protons, amide nitrogens and carbonyl carbons - HNCOCA 3D triple-resonance experiment correlating amide protons, amide nitrogens and alpha carbons via carbonyl carbons - HOHAHA 2D homonuclear Hartmann-Hahn spectroscopy - HOHAHA-HMQC 3D HOHAHA relayed HMQC - HSQC 2D heteronuclear single-quantum correlation spectroscopy - IPTG isopropyl thiogalactoside - NOESY 2D nuclear Overhauser enhancement spectroscopy - NOESY-HSQC 3D NOESY relayed HSQC - TOCSY 2D total correlation spectroscopy - TPPI time-proportional phase incrementation - TSP trimethyl silyl propionate