Empirical correlation between protein backbone <Superscript>15</Superscript>N and <Superscript>13</Superscript>C secondary chemical shifts and its application to nitrogen chemical shift re-referencing

The linear analysis of chemical shifts (LACS) has provided a robust method for identifying and correcting ¹³C chemical shift referencing problems in data from protein NMR spectroscopy. Unlike other approaches, LACS does not require prior knowledge of the three-dimensional structure or inference of the secondary structure of the protein. It also does not require extensive assignment of the NMR data. We report here a way of extending the LACS approach to ¹⁵N NMR data from proteins, so as to enable the detection and correction of inconsistencies in chemical shift referencing for this nucleus. The approach is based on our finding that the secondary ¹⁵N chemical shift of the backbone nitrogen atom of residue i is strongly correlated with the secondary chemical shift difference (experimental minus random coil) between the alpha and beta carbons of residue i − 1. Thus once alpha and beta ¹³C chemical shifts are available (their difference is referencing error-free), the ¹⁵N referencing can be validated, and an appropriate offset correction can be derived. This approach can be implemented prior to a structure determination and can be used to analyze potential referencing problems in database data not associated with three-dimensional structure. Application of the LACS algorithm to the current BMRB protein chemical shift database, revealed that nearly 35% of the BMRB entries have δ ¹⁵N values mis-referenced by over 0.7 ppm and over 25% of them have δ ¹H^N values mis-referenced by over 0.12 ppm. One implication of the findings reported here is that a backbone ¹⁵N chemical shift provides a better indicator of the conformation of the preceding residue than of the residue itself. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Broadband <Superscript>15</Superscript>N–<Superscript>13</Superscript>C dipolar recoupling via symmetry-based RF pulse schemes at high MAS frequencies

An approach for generating efficient RN_n^{n_S, n_k} {\rm{RN}}_{n}^{\nu_{\rm{S}}, {\nu_{\rm{k}}}} symmetry-based dual channel RF pulse schemes for γ-encoded broadband ¹⁵N–¹³C dipolar recoupling at high magic angle spinning frequencies is presented. The method involves the numerical optimisation of the RF phase-modulation profile of the basic “R” element so as to obtain heteronuclear double quantum dipolar recoupling sequences with satisfactory magnetisation transfer characteristics. The basic “R” element was implemented as a sandwich of a small number of short pulses of equal duration with each pulse characterised by a RF phase and amplitude values. The performance characteristics of the sequences were evaluated via numerical simulations and ¹⁵N–¹³C chemical shift correlation experiments. Employing such ¹³C–¹⁵N double-quantum recoupling sequences and the multiple receiver capabilities available in the current generation of NMR spectrometers, the possibility to simultaneously acquire 3D NCC and CNH chemical shift correlation spectra is also demonstrated.     

Simultaneous <Superscript>1</Superscript>H- or <Superscript>2</Superscript>H-, <Superscript>15</Superscript>N- and multiple-band-selective <Superscript>13</Superscript>C-decoupling during acquisition in <Superscript>13</Superscript>C-detected experiments with proteins and oligonucleotides

Significant resolution improvement in ¹³C,¹³C-TOCSY spectra of uniformly deuterated and ¹³C, ¹⁵N-labeled protein and ¹³C,¹⁵N-labeled RNA samples is achieved by introduction of multiple-band-selective ¹³C-homodecoupling applied simultaneously with ¹H- or ²H- and ¹⁵N-decoupling at all stages of multidimensional experiments including signal acquisition period. The application of single, double or triple band-selective ¹³C-decoupling in 2D-[¹³C,¹³C]-TOCSY experiments during acquisition strongly simplifies the homonuclear splitting pattern. The technical aspects of complex multiple-band homonuclear decoupling and hardware requirements are discussed. The use of this technique (i) facilitates the resonance assignment process as it reduces signal overlap in homonuclear ¹³C-spectra and (ii) possibly improves the signal-to-noise ratio through multiplet collapse. It can be applied in any ¹³C-detected experiment.     

Dynamics of <Superscript>18</Superscript>O Incorporation from H <Subscript>2</Subscript><Superscript>18</Superscript>O into Soil Microbial DNA

Heavy water (H₂¹⁸O) has been used to label DNA of soil microorganisms in stable isotope probing experiments, yet no measurements have been reported for the ¹⁸O content of DNA from soil incubated with heavy water. Here we present the first measurements of atom% ¹⁸O for DNA extracted from soil incubated with the addition of H₂¹⁸O. Four experiments were conducted to test how the atom% ¹⁸O of DNA, extracted from Ponderosa Pine forest soil incubated with heavy water, was affected by the following variables: (1) time, (2) nutrients, (3) soil moisture, and (4) atom% ¹⁸O of added H₂O. In the time series experiment, the atom% ¹⁸O of DNA increased linearly (R ² = 0.994, p < 0.01) over the first 72 h of incubation. In the nutrient addition experiment, there was a positive correlation (R ² = 0.991, p = 0.006) between the log₁₀ of the amount of tryptic soy broth, a complex nutrient broth, added to soil and the log₁₀ of the atom% ¹⁸O of DNA. For the experiment where soil moisture was manipulated, the atom% ¹⁸O of DNA increased with higher soil moisture until soil moisture reached 30%, above which ¹⁸O enrichment of DNA declined as soils became more saturated. When the atom% ¹⁸O for H₂O added was varied, there was a positive linear relationship between the atom% ¹⁸O of the added water and the atom% ¹⁸O of the DNA. Results indicate that quantification of ¹⁸O incorporated into DNA from H₂¹⁸O has potential to be used as a proxy for microbial growth in soil.     

High resolution <Superscript>13</Superscript>C-detected solid-state NMR spectroscopy of a deuterated protein

High resolution ¹³C-detected solid-state NMR spectra of the deuterated beta-1 immunoglobulin binding domain of the protein G (GB1) have been collected to show that all ¹⁵N, ¹³C′, ¹³Cα and ¹³Cβ sites are resolved in ¹³C–¹³C and ¹⁵N–¹³C spectra, with significant improvement in T ₂ relaxation times and resolution at high magnetic field (750 MHz). The comparison of echo T ₂ values between deuterated and protonated GB1 at various spinning rates and under different decoupling schemes indicates that ¹³Cα T ₂′ times increase by almost a factor of two upon deuteration at all spinning rates and under moderate decoupling strength, and thus the deuteration enables application of scalar-based correlation experiments that are challenging from the standpoint of transverse relaxation, with moderate proton decoupling. Additionally, deuteration in large proteins is a useful strategy to selectively detect polar residues that are often important for protein function and protein–protein interactions.     

Optimizing <Superscript>19</Superscript>F NMR protein spectroscopy by fractional biosynthetic labeling

In protein NMR experiments which employ nonnative labeling, incomplete enrichment is often associated with inhomogeneous line broadening due to the presence of multiple labeled species. We investigate the merits of fractional enrichment strategies using a monofluorinated phenylalanine species, where resolution is dramatically improved over that achieved by complete enrichment. In NMR studies of calmodulin, a 148 residue calcium binding protein, ¹⁹F and ¹H-¹⁵N HSQC spectra reveal a significant extent of line broadening and the appearance of minor conformers in the presence of complete (>95%) 3-fluorophenylalanine labeling. The effects of varying levels of enrichment of 3-fluorophenylalanine (i.e. between 3 and >95%) were further studied by ¹⁹F and ¹H-¹⁵N HSQC spectra,¹⁵N T₁ and T₂ relaxation measurements, ¹⁹F T₂ relaxation, translational diffusion and heat denaturation experiments via circular dichroism. Our results show that while several properties, including translational diffusion and thermal stability show little variation between non-fluorinated and >95% ¹⁹F labeled samples, ¹⁹F and ¹H-¹⁵N HSQC spectra show significant improvements in line widths and resolution at or below 76% enrichment. Moreover, high levels of fluorination (>80%) appear to increase protein disorder as evidenced by backbone ¹⁵N dynamics. In this study, reasonable signal to noise can be achieved between 60–76% ¹⁹F enrichment, without any detectable perturbations from labeling.     

Computational study of the Na<Superscript>+</Superscript>/H<Superscript>+</Superscript> antiporter from <Emphasis Type="Italic">Vibrio parahaemolyticus</Emphasis>

Sodium proton antiporters are ubiquitous membrane proteins that catalyze the exchange of Na⁺ for protons throughout the biological world. The Escherichia coli NhaA is the archetypal Na⁺/H⁺ antiporter and is absolutely essential for survival in high salt concentrations under alkaline conditions. Its crystal structure, accompanied by extensive molecular dynamics simulations, have provided an atomically detailed model of its mechanism. In this study, we utilized a combination of computational methodologies in order to construct a structural model for the Na⁺/H⁺ antiporter from the gram-negative bacterium Vibrio parahaemolyticus. We explored its overall architecture by computational means and validated its stability and robustness. This protein belongs to a novel group of NhaA proteins that transports not only Na⁺ and Li⁺ as substrate ions, but K⁺ as well, and was also found to miss a β-hairpin segment prevalent in other homologs of the Bacteria domain. We propose, for the first time, a structure of a prototype model of a β-hairpin-less NhaA that is selective to K⁺. Better understanding of the Vibrio parahaemolyticus NhaA structure-function may assist in studies on ion transport, pH regulation and designing selective blockers.     

Optimization of amino acid type-specific <Superscript>13</Superscript>C and <Superscript>15</Superscript>N labeling for the backbone assignment of membrane proteins by solution- and solid-state NMR with the UPLABEL algorithm

We present a computational method for finding optimal labeling patterns for the backbone assignment of membrane proteins and other large proteins that cannot be assigned by conventional strategies. Following the approach of Kainosho and Tsuji (Biochemistry 21:6273–6279 (1982)), types of amino acids are labeled with ¹³C or/and ¹⁵N such that cross peaks between ¹³CO(i – 1) and ¹⁵NH(i) result only for pairs of sequentially adjacent amino acids of which the first is labeled with ¹³C and the second with ¹⁵N. In this way, unambiguous sequence-specific assignments can be obtained for unique pairs of amino acids that occur exactly once in the sequence of the protein. To be practical, it is crucial to limit the number of differently labeled protein samples that have to be prepared while obtaining an optimal extent of labeled unique amino acid pairs. Our computer algorithm UPLABEL for optimal unique pair labeling, implemented in the program CYANA and in a standalone program, and also available through a web portal, uses combinatorial optimization to find for a given amino acid sequence labeling patterns that maximize the number of unique pair assignments with a minimal number of differently labeled protein samples. Various auxiliary conditions, including labeled amino acid availability and price, previously known partial assignments, and sequence regions of particular interest can be taken into account when determining optimal amino acid type-specific labeling patterns. The method is illustrated for the assignment of the human G-protein coupled receptor bradykinin B2 (B₂R) and applied as a starting point for the backbone assignment of the membrane protein proteorhodopsin.     

1-<Superscript>13</Superscript>C amino acid selective labeling in a <Superscript>2</Superscript>H<Superscript>15</Superscript>N background for NMR studies of large proteins

Isotope labeling by residue type (LBRT) has long been an important tool for resonance assignments at the limit where other approaches, such as triple-resonance experiments or NOESY methods do not succeed in yielding complete assignments. While LBRT has become less important for small proteins it can be the method of last resort for completing assignments of the most challenging protein systems. Here we present an approach where LBRT is achieved by adding protonated ¹⁴N amino acids that are ¹³C labeled at the carbonyl position to a medium for uniform deuteration and ¹⁵N labeling. This has three important benefits over conventional ¹⁵N LBRT in a deuterated back ground: (1) selective TROSY-HNCO cross peaks can be observed with high sensitivity for amino-acid pairs connected by the labeling, and the amide proton of the residue following the ¹³C labeled amino acid is very sharp since its alpha position is deuterated, (2) the ¹³C label at the carbonyl position is less prone to scrambling than the ¹⁵N at the α-amino position, and (3) the peaks for the 1-¹³C labeled amino acids can be identified easily from the large intensity reduction in the ¹H-¹⁵N TROSY-HSQC spectrum for some residues that do not significantly scramble nitrogens, such as alanine and tyrosine. This approach is cost effective and has been successfully applied to proteins larger than 40 kDa. Electronic Supplementary Material The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Liquid seaweed extracts identified using <Superscript>1</Superscript>H NMR profiles

Aqueous extracts of Ascophyllum nodosum and several other brown seaweeds are manufactured commercially and widely distributed for use on agricultural crops. The increasingly regulated international trade in such products requires that they be standardized and defined to a degree not previously required. We examined commercially available extracts using quantitative ¹H NMR and principal components analysis (PCA) techniques. Extracts manufactured over a 4-year period using the same process exhibited characteristic profiles that, on PCA, clustered as a discrete group distinct from the other commercial products examined. In addition to recognizing extracts made from different seaweeds, analysis of the ¹H spectra in the 0.35–4.70 ppm region allowed us to distinguish amongst extracts produced from the same algal species by different manufacturers. This result established that the process used to make an extract is an important variable in defining its composition. A comparison of the ¹H NMR integrals for the regions 1.0–3.0 ppm and 3.0–4.38 ppm revealed small but significant changes in the A. nodosum spectra that we attribute to seasonal variation in gross composition of the harvested seaweed. Such changes are reflected in the PCA scores plots and contribute to the scatter observed within the data point cluster observed for Acadian soluble extracts when all data are pooled. Quantitative analysis using ¹H NMR (qNMR) with a certified external standard (caffeine) showed a linear relationship with extract concentration over at least an order of magnitude (2.5–33 mg/mL; R ² > 0.97) for both spectral regions integrated. We conclude that qNMR can be used to profile (or “fingerprint”) commercial seaweed extracts and to quantify the amount of extract present relative to a suitably chosen standard. Issued as NRCC no. 42,652.     

Fish scale δ<Superscript>15</Superscript>N and δ<Superscript>13</Superscript>C values provide biogeochemical tags of fish comparable in performance to element concentrations in scales and otoliths

Natural variability in stable isotope ratios and element concentrations in calcified structures of fish (e.g. scales and otoliths) has provided biogeochemical ‘tags’ for studying origins and movements of marine species, but has been little used in freshwater studies. We examine whether variability in scale δ¹⁵N and δ¹³C values of Salmo trutta L., could provide a tag of fish over small spatial scales in a small river catchment (River Dee, U.K.) and compared their performance as tags with that of scale/otolith element concentrations. Whole scale δ¹⁵N and δ¹³C values differed among six study sites and fish could be classified to their site of origin with a high degree of accuracy. Classifying fish to their site of capture was marginally superior using scale δ¹⁵N and δ¹³C values compared to that achieved using Sr, Mn, Ba and Mg in scale hydroxyapatite or otolith aragonite. Scale δ¹⁵N and δ¹³C values could therefore provide non-lethally collectable biogeochemical tags superior in performance to element concentrations in otoliths and scales. A comprehensive study of δ¹⁵N and δ¹³C values within freshwater systems would develop our understanding of factors influencing geographical variability in baseline δ¹⁵N and δ¹³C signatures.     

<Superscript>1</Superscript>H NMR metabolic fingerprinting of saffron extracts

The aim of this study was to explore feasibility of ¹H NMR metabolic fingerprinting for discrimination of authenticity of saffron using principal component analysis (PCA) modeling. Authentic reference Iranian saffron (n = 31) and commercial samples (n = 32) were used. Cross-validated PCA models based on ¹H NMR spectra of solutions prepared by direct extraction of grinded saffron with methanol-d ₄ distinguished reference Iranian saffron samples from commercial samples that formed several distinct clusters, some of which represent falsified samples as confirmed by microscopic analysis. The production sites and drying conditions of the authentic reference Iranian samples were not reflected in the current dataset. Picrocrocin and glycosyl esters of crocetin emerged as the most important ¹H NMR markers of authentic saffron by using statistical correlation spectroscopy. In conclusion, ¹H NMR spectra of saffron extracts combined with pattern recognition by PCA provide immediate means of unsupervised classification of saffron samples.     

<Superscript>137</Superscript>Cs, <Superscript>40</Superscript>K, <Superscript>238</Superscript>Pu, <Superscript>239+240</Superscript>Pu and <Superscript>90</Superscript>Sr in biological samples from King George Island (Southern Shetlands) in Antarctica

There are few data reported on radionuclide contamination in Antarctica. The aim of this paper is to report ¹³⁷Cs, ⁹⁰Sr and ^238,239+240Pu and ⁴⁰K activity concentrations measured in biological samples collected from King George Island (Southern Shetlands, Antarctica), mostly during 2001–2002. The samples included: bones, eggshells and feathers of penguin Pygoscelis papua, bones and feathers of petrel Daption capense, bones and fur of seal Mirounga leonina, algae Himantothallus grandifolius, Desmarestia anceps and Cystosphaera jacquinotii, fish Notothenia corriceps, sea invertebrates Amphipoda, shells of limpet Nacella concina, lichen Usnea aurantiaco-atra, vascular plants Deschampsia antarctica and Colobanthus quitensis, fungi Omphalina pyxidata, moss Sanionia uncinata and soil. The results show a large variation in some activity concentrations. Samples from the marine environment had lower contamination levels than those from terrestrial ecosystems. The highest activity concentrations for all radionuclides were found in lichen and, to a lesser extent, in mosses, probably because lichens take up atmospheric pollutants and retain them. The only significant correlation (except for that expected between ²³⁸Pu and ^239+240Pu) was noted for moss and lichen samples between plutonium and ⁹⁰Sr. A tendency to a slow decrease with time seems to be occurring. Analyses of the activity ratios show varying fractionation between various radionuclides in different organisms. Algae were relatively more highly contaminated with plutonium and radiostrontium, and depleted with radiocesium. Feathers had the lowest plutonium concentrations. Radiostrontium and, to a lesser extent, Pu accumulated in bones. The present low intensity of fallout in Antarctic has a lower ²³⁸Pu/^239+240Pu activity ratio than that expected for global fallout.     

Design and development of a simple laboratory model to detect <Superscript>15</Superscript>N enrichment in cyanobacterial biomass and extra cellular ammonia using <Superscript>15</Superscript>N gas

A laboratory scale working model that could detect the ¹⁵N enrichment in cyanobacterial biomass and extracellular ammonia, using ¹⁵N gas under in vitro conditions was designed and fabricated. Using the model, ¹⁵N enrichment of 0.48% atom excess was detected in the cyanobacterial biomass on the 30 d after inoculation. The ¹⁵N enrichment increased linearly in the extracellular ammoniacal fraction from the 20 d onward. The model would prove to be a useful tool to quantify the extent of ¹⁵N enrichment under in vitro conditions using ¹⁵N gas.     

Time-shared HSQC-NOESY for accurate distance constraints measured at high-field in <Superscript>15</Superscript>N-<Superscript>13</Superscript>C-ILV methyl labeled proteins

We present a time-shared 3D HSQC-NOESY experiment that enables one to simultaneously record ¹³C- and ¹⁵N-dispersed spectra in Ile, Leu and Val (ILV) methyl-labeled samples. This experiment is designed to delineate the two spectra which would otherwise overlap with one another when acquired together. These spectra display nOe correlations in the detected proton dimension, i.e. with maximum resolution. This is in contrast to NOESY-HSQC types of experiments that provide cross-peaks in the indirect dimension with low resolution due to limits in experimental time. The technique is particularly advantageous at high field where even longer experimental times would be required for comparable resolution in NOESY-HSQC experiments. The method is demonstrated at 900 MHz and at 750 MHz on 37 and 31 kDa proteins, respectively. The resolution and time saving provided in this experiment was crucial for solving the structures of these two proteins.     

<Superscript>31</Superscript>P NMR correlation maps of <Superscript>18</Superscript>O/<Superscript>16</Superscript>O chemical shift isotopic effects for phosphometabolite labeling studies

Intramolecular correlations among the ¹⁸O-labels of metabolic oligophosphates, mapped by J-decoupled ³¹P NMR 2D chemical shift correlation spectroscopy, impart stringent constraints to the ¹⁸O-isotope distributions over the whole oligophosphate moiety. The multiple deduced correlations of isotopic labels enable determination of site-specific fractional isotope enrichments and unravel the isotopologue statistics. This approach ensures accurate determination of ¹⁸O-labeling rates of phosphometabolites, critical in biochemical energy conversion and metabolic flux transmission. The biological usefulness of the J-decoupled ³¹P NMR 2D chemical shift correlation maps was validated on adenosine tri-phosphate fractionally ¹⁸O labeled in perfused mammalian hearts.     

Automated metabolite identification from biological fluid <Superscript>1</Superscript>H NMR spectra

Introduction

Metabolite identification in biological samples using Nuclear Magnetic Resonance (NMR) spectra is a challenging task due to the complexity of the biological matrices.

Objectives

This paper introduces a new, automated computational scheme for the identification of metabolites in 1D ¹H NMR spectra based on the Human Metabolome Database.

Methods

The methodological scheme comprises of the sequential application of preprocessing, data reduction, metabolite screening and combination selection.

Results

The proposed scheme has been tested on the 1D ¹H NMR spectra of: (a) an amino acid mixture, (b) a serum sample spiked with the amino acid mixture, (c) 20 blood serum, (d) 20 human amniotic fluid samples, (e) 160 serum samples from publicly available database. The methodological scheme was compared against widely used software tools, exhibiting good performance in terms of correct assignment of the metabolites.

Conclusions

This new robust scheme accomplishes to automatically identify peak resonances in ¹H-NMR spectra with high accuracy and less human intervention with a wide range of applications in metabolic profiling.

     

Towards extracellular Ca<Superscript>2+</Superscript> sensing by MRI: synthesis and calcium-dependent <Superscript>1</Superscript>H and <Superscript>17</Superscript>O relaxation studies of two novel bismacrocyclic Gd<Superscript>3+</Superscript> complexes

Two new bismacrocyclic Gd³⁺ chelates containing a specific Ca²⁺ binding site were synthesized as potential MRI contrast agents for the detection of Ca²⁺ concentration changes at the millimolar level in the extracellular space. In the ligands, the Ca²⁺-sensitive BAPTA-bisamide central part is separated from the DO3A macrocycles either by an ethylene (L¹) or by a propylene (L²) unit [H₄BAPTA is 1,2-bis(o-aminophenoxy)ethane-N,N,N′,N′-tetraacetic acid; H₃DO₃A is 1,4,7,10-tetraazacyclododecane-1,4,7-triacetic acid]. The sensitivity of the Gd³⁺ complexes towards Ca²⁺ and Mg²⁺ was studied by ¹H relaxometric titrations. A maximum relaxivity increase of 15 and 10% was observed upon Ca²⁺ binding to Gd₂L¹ and Gd₂L², respectively, with a distinct selectivity of Gd₂L¹ towards Ca²⁺ compared with Mg²⁺. For Ca²⁺ binding, association constants of log K = 1.9 (Gd₂L¹) and log K = 2.7 (Gd₂L²) were determined by relaxometry. Luminescence lifetime measurements and UV–vis spectrophotometry on the corresponding Eu³⁺ analogues proved that the complexes exist in the form of monohydrated and nonhydrated species; Ca²⁺ binding in the central part of the ligand induces the formation of the monohydrated state. The increasing hydration number accounts for the relaxivity increase observed on Ca²⁺ addition. A ¹H nuclear magnetic relaxation dispersion and ¹⁷O NMR study on Gd₂L¹ in the absence and in the presence of Ca²⁺ was performed to assess the microscopic parameters influencing relaxivity. On Ca²⁺ binding, the water exchange is slightly accelerated, which is likely related to the increased steric demand of the central part leading to a destabilization of the Ln–water binding interaction. Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

<Superscript>1</Superscript>H, <Superscript>15</Superscript>N and <Superscript>13</Superscript>C resonance assignments of light organ-associated fatty acid-binding protein of Taiwanese fireflies

Fatty acid-binding proteins (FABPs) are a family of proteins that modulate the transfer of various fatty acids in the cytosol and constitute a significant portion in many energy-consuming cells. The ligand binding properties and specific functions of a particular type of FABP seem to be diverse and depend on the respective binding cavity as well as the cell type from which this protein is derived. Previously, a novel FABP (lcFABP; lc: Luciola cerata) was identified in the light organ of Taiwanese fireflies. The lcFABP was proved to possess fatty acids binding capabilities, especially for fatty acids of length C₁₄–C₁₈. However, the structural details are unknown, and the structure–function relationship has remained to be further investigated. In this study, we finished the ¹H, ¹⁵N and ¹³C chemical shift assignments of ¹⁵N/¹³C-enriched lcFABP by solution NMR spectroscopy. In addition, the secondary structure distribution was revealed based on the backbone N, H, C_α, H_α, C and side chain C_β assignments. These results can provide the basis for further structural exploration of lcFABP.     

A simple method to adjust inconsistently referenced <Superscript>13</Superscript>C and <Superscript>15</Superscript>N chemical shift assignments of proteins

Inconsistent ¹³C and ¹⁵N chemical shift referencing is a continuing problem associated with protein chemical shift assignments deposited in BioMagResBank (BMRB). Here we describe a simple and robust approach that can quantitatively determine the ¹³C and ¹⁵N referencing offsets solely from chemical shift assignment data and independently of 3D coordinate data. This novel structure-independent approach permitted the assessment and determination of ¹³C and ¹⁵N reference offsets for all protein entries deposited in the BMRB. Tests on 452 proteins with known 3D structures show that this structure-independent approach yields ¹³C and ¹⁵N referencing offsets that exhibit excellent agreement with those calculated on the basis of 3D structures. Furthermore, this protocol appears to improve the accuracy of chemical shift-derived secondary structural identification, and has been formally incorporated into a computer program called PSSI (http//www.pronmr.com).Supplementary material to this paper is available in electronic form at http://dx.doi.org/10.1007/s10858-004-7441-3