ORB, a homology-based program for the prediction of protein NMR chemical shifts

A computer program (ORB) has been developed to predict ¹H,¹³C and ¹⁵N NMR chemical shifts of previouslyunassigned proteins. The program makes use of the information contained in achemical shift database of previously assigned proteins supplemented by astatistically derived averaged chemical shift database in which the shifts arecategorized according to their residue, atom and secondary structure type[Wishart et al. (1991) J. Mol. Biol., 222, 311–333]. The predictionprocess starts with a multiple alignment of all previously assigned proteinswith the unassigned query protein. ORB uses the sequence and secondarystructure alignment program XALIGN for this task [Wishart et al. (1994)CABIOS, 10, 121–132; 687–688]. The prediction algorithm in ORB isbased on a scoring of the known shifts for each sequence. The scores dependon global sequence similarity, local sequence similarity, structuralsimilarity and residue similarity and determine how much weight one particularshift is given in the prediction process. In situations where no applicablepreviously assigned chemical shifts are available, the shifts derived from theaveraged database are used. In addition to supplying the user with predictedchemical shifts, ORB calculates a confidence value for every prediction. Theseconfidence values enable the user to judge which predictions are the mostaccurate and they are particularly useful when ORB is incorporated into acomplete autoassignment package. The usefulness of ORB was tested on threemedium-sized proteins: an interleukin-8 analog, a troponin C synthetic peptideheterodimer and cardiac troponin C. Excellent results are obtained if ORB isable to use the chemical shifts of at least one highly homologous sequence.ORB performs well as long as the sequence identity between proteins with knownchemical shifts and the new sequence is not less than 30%.     

Chemical shift homology in proteins

The degree of chemical shift similarity for homologous proteins has been determined from a chemical shift database of over 50 proteins representing a variety of families and folds, and spanning a wide range of sequence homologies. After sequence alignment, the similarity of the secondary chemical shifts of C protons was examined as a function of amino acid sequence identity for 37 pairs of structurally homologous proteins. A correlation between sequence identity and secondary chemical shift rmsd was observed. Important insights are provided by examining the sequence identity of homologous proteins versus percentage of secondary chemical shifts that fall within 0.1 and 0.3 ppm thresholds. These results begin to establish practical guidelines for the extent of chemical shift similarity to expect among structurally homologous proteins.     

1H, 13C and 15N NMR backbone assignments of the 269-residue serine protease PB92 from Bacillus alcalophilus

Summary The ¹H, ¹³C and ¹⁵N NMR resonances of the backbone of serine protease PB92 have been assigned. This 269-residue protein is one of the largest monomeric proteins assigned so far. The amount and quality of information available suggest that even larger proteins could be assigned with present methods. Measured chemical shifts show excellent agreement with the secondary structure.Abbreviations 2D/3D two-/three-dimensional - HSQC Heteronuclear Single Quantum Coherence - TOCSY total correlation spectroscopy - NOE nuclear Overhauser effect Supplementary material available from the authors: One table containing the backbone ¹⁵N, ¹H^N, ¹³CO, ¹³CO and ¹H assignments for serine protease PB92.     

Sequence-specific NMR assignment of proteins by global fragment mapping with the program Mapper

A new program, Mapper, for semiautomatic sequence-specific NMR assignment in proteins is introduced. The program uses an input of short fragments of sequentially neighboring residues, which have been assembled based on sequential NMR connectivities and for which either the ¹³C and ¹³C chemical shifts or data on the amino acid type from other sources are known. Mapper then performs an exhaustive search for self-consistent simultaneous mappings of all these fragments onto the protein sequence. Compared to using only the individual mappings of the spectroscopically connected fragments, the global mapping adds a powerful new constraint, which results in resolving many otherwise intractable ambiguities. In an initial application, virtually complete sequence-specific assignments were obtained for a 110 kDa homooctameric protein, 7,8-dihydroneopterin aldolase from Staphylococcus aureus.     

Determination of molecular alignment tensors without backbone resonance assignment: Aid to rapid analysis of protein-protein interactions

Based on high-resolution structures of the free molecules accurate determination of structures of protein complexes by NMR spectroscopy is possible using residual dipolar couplings. In order, however, to be able to apply these methods, protein backbone resonances have to be assigned first. This NMR assignment process is particularly difficult and time consuming for protein sizes above 20 kDa. Here we show that, when NMR resonances belonging to a specific amino acid type are selected either by amino acid specific labeling, by their characteristic C/C chemical shifts or by dedicated NMR experiments, molecular alignment tensors of proteins up to 80 kDa can be determined without prior backbone resonance assignment. This offers the opportunity to greatly accelerate determination of three-dimensional structures of protein-protein and protein-ligand complexes, and validation of multimeric states of proteins. Moreover, exhaustive back-calculation can be performed using only ¹D_NH couplings. Therefore, it avoids expensive ¹³C-labeling and it gives access to orientational information for large proteins that strongly aggregate at concentrations above 50 M, i.e., experimental conditions where 3D triple resonance experiments are not sensitive enough to allow backbone resonance assignment.     

A tracked approach for automated NMR assignments in proteins (TATAPRO)

A novel automated approach for the sequence specific NMR assignments of ¹H^N, ¹³C, ¹³C, ¹³C/¹H and ¹⁵N spins in proteins, using triple resonance experimental data, is presented. The algorithm, TATAPRO (Tracked AuTomated Assignments in Proteins) utilizes the protein primary sequence and peak lists from a set of triple resonance spectra which correlate ¹H^N and ¹⁵N chemical shifts with those of ¹³C, ¹³C and ¹³C/¹H. The information derived from such correlations is used to create a `master_list' consisting of all possible sets of ¹H^N _i, ¹⁵N_i, ¹³C _i, ¹³C _i, ¹³C_i/¹H _i, ¹³C _i–1, ¹³C _i–1 and ¹³C_i–1/ ¹H _i–1 chemical shifts. On the basis of an extensive statistical analysis of ¹³C and ¹³C chemical shift data of proteins derived from the BioMagResBank (BMRB), it is shown that the 20 amino acid residues can be grouped into eight distinct categories, each of which is assigned a unique two-digit code. Such a code is used to tag individual sets of chemical shifts in the master_list and also to translate the protein primary sequence into an array called pps_array. The program then uses the master_list to search for neighbouring partners of a given amino acid residue along the polypeptide chain and sequentially assigns a maximum possible stretch of residues on either side. While doing so, each assigned residue is tracked in an array called assig_array, with the two-digit code assigned earlier. The assig_array is then mapped onto the pps_array for sequence specific resonance assignment. The program has been tested using experimental data on a calcium binding protein from Entamoeba histolytica (Eh-CaBP, 15 kDa) having substantial internal sequence homology and using published data on four other proteins in the molecular weight range of 18–42 kDa. In all the cases, nearly complete sequence specific resonance assignments (> 95%) are obtained. Furthermore, the reliability of the program has been tested by deleting sets of chemical shifts randomly from the master_list created for the test proteins.     

Automated prediction of 15N, 13Cα, 13Cβ and 13C′ chemical shifts in proteins using a density functional database

A database of peptide chemical shifts, computed at the density functional level, has been used to develop an algorithm for prediction of ¹⁵N and ¹³C shifts in proteins from their structure; the method is incorporated into a program called SHIFTS (version 4.0). The database was built from the calculated chemical shift patterns of 1335 peptides whose backbone torsion angles are limited to areas of the Ramachandran map around helical and sheet configurations. For each tripeptide in these regions of regular secondary structure (which constitute about 40% of residues in globular proteins) SHIFTS also consults the database for information about sidechain torsion angle effects for the residue of interest and for the preceding residue, and estimates hydrogen bonding effects through an empirical formula that is also based on density functional calculations on peptides. The program optionally searches for alternate side-chain torsion angles that could significantly improve agreement between calculated and observed shifts. The application of the program on 20 proteins shows good consistency with experimental data, with correlation coefficients of 0.92, 0.98, 0.99 and 0.90 and r.m.s. deviations of 1.94, 0.97, 1.05, and 1.08 ppm for ¹⁵N, ¹³C, ¹³C and ¹³C, respectively. Reference shifts fit to protein data are in good agreement with `random-coil' values derived from experimental measurements on peptides. This prediction algorithm should be helpful in NMR assignment, crystal and solution structure comparison, and structure refinement.     

Proton,carbon, and nitrogen chemical shifts accurately delineate differences and similarities in secondary structure between the homologous proteins IRAP and IL-1β

Summary ¹H,¹³C, and¹⁵N secondary chemical shifts, defined as the difference between the observed value and the random coil value, have been calculated for interleukin-1 receptor antagonist protein and interleukin-1. Averaging of the secondary chemical shifts with those of adjacent residues was used to smooth out local effects and to obtain a correlation dependent on secondary structure. Differences and similarities in the placement of secondary structure elements in the primary segdences of these structurally homologous proteins are manifested in the smoothed secondary chemical shifts of all three types of nuclei. The close correlation observed between the secondary chemical shifts and the previously defined locations of secondary structure, as defined by traditional methods, exemplifies the advantage of chemical shifts to delineate regions of secondary structure.     

Residual backbone and side-chain <Superscript>13</Superscript>C and <Superscript>15</Superscript>N resonance assignments of the intrinsic transmembrane light-harvesting 2 protein complex by solid-state Magic Angle Spinning NMR spectroscopy

This study reports the sequence specific chemical shifts assignments for 76 residues of the 94 residues containing monomeric unit of the photosynthetic light-harvesting 2 transmembrane protein complex from Rhodopseudomonas acidophila strain 10050, using Magic Angle Spinning (MAS) NMR in combination with extensive and selective biosynthetic isotope labeling methods. The sequence specific chemical shifts assignment is an essential step for structure determination by MAS NMR. Assignments have been performed on the basis of 2-dimensional proton-driven spin diffusion ¹³C–¹³C correlation experiments with mixing times of 20 and 500 ms and band selective ¹³C–¹⁵N correlation spectroscopy on a series of site-specific biosynthetically labeled samples. The decreased line width and the reduced number of correlation signals of the selectively labeled samples with respect to the uniformly labeled samples enable to resolve the narrowly distributed correlation signals of the backbone carbons and nitrogens involved in the long -helical transmembrane segments. Inter-space correlations between nearby residues and between residues and the labeled BChl a cofactors, provided by the ¹³C–¹³C correlation experiments using a 500 ms spin diffusion period, are used to arrive at sequence specific chemical shift assignments for many residues in the protein complex. In this way it is demonstrated that MAS NMR methods combined with site-specific biosynthetic isotope labeling can be used for sequence specific assignment of the NMR response of transmembrane proteins.     

Protein backbone angle restraints from searching a database for chemical shift and sequence homology

Chemical shifts of backbone atoms in proteins are exquisitely sensitive to local conformation, and homologous proteins show quite similar patterns of secondary chemical shifts. The inverse of this relation is used to search a database for triplets of adjacent residues with secondary chemical shifts and sequence similarity which provide the best match to the query triplet of interest. The database contains 13C, 13C, 13C, 1H and 15N chemical shifts for 20 proteins for which a high resolution X-ray structure is available. The computer program TALOS was developed to search this database for strings of residues with chemical shift and residue type homology. The relative importance of the weighting factors attached to the secondary chemical shifts of the five types of resonances relative to that of sequence similarity was optimized empirically. TALOS yields the 10 triplets which have the closest similarity in secondary chemical shift and amino acid sequence to those of the query sequence. If the central residues in these 10 triplets exhibit similar and backbone angles, their averages can reliably be used as angular restraints for the protein whose structure is being studied. Tests carried out for proteins of known structure indicate that the root-mean-square difference (rmsd) between the output of TALOS and the X-ray derived backbone angles is about 15°. Approximately 3% of the predictions made by TALOS are found to be in error.     

The 13C Chemical-Shift Index: A simple method for the identification of protein secondary structure using 13C chemical-shift data

Summary A simple technique for identifying protein secondary structures through the analysis of backbone ¹³C chemical shifts is described. It is based on the Chemical-Shift Index [Wishart et al. (1992) Biochemistry, 31, 1647–1651] which was originally developed for the analysis of ¹H chemical shifts. By extending the Chemical-Shift Index to include ¹³C, ¹³C and carbonyl ¹³C chemical shifts, it is now possible to use four independent chemical-shift measurements to identify and locate protein secondary structures. It is shown that by combining both ¹H and ¹³C chemical-shift indices to produce a consensus estimate of secondary structure, it is possible to achieve a predictive accuracy in excess of 92%. This suggests that the secondary structure of peptides and proteins can be accurately obtained from ¹H and ¹³C chemical shifts, without recourse to NOE measurements.Supplementary material is available in the form of a 10-page table (Table S1) describing the exact location of secondary structures in all 20 proteins as determined using the methods described in this paper. Requests for Table S1 should be directed to the authors.     

Rapid and accurate calculation of protein 1H, 13C and 15N chemical shifts

A computer program (SHIFTX) is described which rapidly and accurately calculates the diamagnetic ¹H, ¹³C and ¹⁵N chemical shifts of both backbone and sidechain atoms in proteins. The program uses a hybrid predictive approach that employs pre-calculated, empirically derived chemical shift hypersurfaces in combination with classical or semi-classical equations (for ring current, electric field, hydrogen bond and solvent effects) to calculate ¹H, ¹³C and ¹⁵N chemical shifts from atomic coordinates. The chemical shift hypersurfaces capture dihedral angle, sidechain orientation, secondary structure and nearest neighbor effects that cannot easily be translated to analytical formulae or predicted via classical means. The chemical shift hypersurfaces were generated using a database of IUPAC-referenced protein chemical shifts – RefDB (Zhang et al., 2003), and a corresponding set of high resolution (<2.1 Å) X-ray structures. Data mining techniques were used to extract the largest pairwise contributors (from a list of 20 derived geometric, sequential and structural parameters) to generate the necessary hypersurfaces. SHIFTX is rapid (< 1 CPU second for a complete shift calculation of 100 residues) and accurate. Overall, the program was able to attain a correlation coefficient (r) between observed and calculated shifts of 0.911 (¹H), 0.980 (¹³C), 0.996 (¹³C), 0.863 (¹³CO), 0.909 (¹⁵N), 0.741 (¹HN), and 0.907 (sidechain ¹H) with RMS errors of 0.23, 0.98, 1.10, 1.16, 2.43, 0.49, and 0.30 ppm, respectively on test data sets. We further show that the agreement between observed and SHIFTX calculated chemical shifts can be an extremely sensitive measure of the quality of protein structures. Our results suggest that if NMR-derived structures could be refined using heteronuclear chemical shifts calculated by SHIFTX, their precision could approach that of the highest resolution X-ray structures. SHIFTX is freely available as a web server at http://redpoll.pharmacy.ualberta.ca.     

Subunit-specific backbone NMR assignments of a 64 kDa trp repressor/DNA complex: A role for N-terminal residues in tandem binding

Deuterium decoupled, triple resonance NMR spectroscopy was used to analyze complexes of ²H,¹⁵N,¹³C labelled intact and (des2–7) trp repressor (2–7 trpR) from E. coli bound in tandem to an idealized 22 basepair trp operator DNA fragment and the corepressor 5-methyltryptophan. The DNA sequence used here binds two trpR dimers in tandem resulting in chemically nonequivalent environments for the two subunits of each dimer. Sequence- and subunit-specific NMR resonance assignments were made for backbone ¹HN, ¹⁵N, ¹³C positions in both forms of the protein and for¹³ C in the intact repressor. The differences in backbone chemical shifts between the two subunits within each dimer of 2–7 trpR reflect dimer-dimer contacts involving the helix-turn-helix domains and N-terminal residues consistent with a previously determined crystal structure [Lawson and Carey (1993) Nature, 366, 178–182]. Comparison of the backbone chemical shifts of DNA-bound 2–7 trpR with those of DNA-bound intact trpR reveals significant changes for those residues involved in N-terminal-mediated interactions observed in the crystal structure. In addition, our solution NMR data contain three sets of resonances for residues 2–12 in intact trpR suggesting that the N-terminus has multiple conformations in the tandem complex. Analysis of C chemical shifts using a chemical shift index (CSI) modified for deuterium isotope effects has allowed a comparison of the secondary structure of intact and 2–7 tprR. Overall these data demonstrate that NMR backbone chemical shift data can be readily used to study specific structural details of large protein complexes.     

1H, 13C and 15N NMR backbone assignments and secondary structure of the 269-residue protease subtilisin 309 from Bacillus lentus

Summary ¹H, ¹³C and ¹⁵N NMR assignments of the backbone atoms of subtilisin 309, secreted by Bacillus lentus, have been made using heteronuclear 3D NMR techniques. With 269 amino acids, this protein is one of the largest proteins to be sequentially assigned by NMR methods to date. Because of the size of the protein, some useful 3D correlation experiments were too insensitive to be used in the procedure. The HNCO, HN(CO)CA, HNCA and HCACO experiments are robust enough to provide most of the expected correlations for a protein of this size. It was necessary to use several experiments to unambiguously determine a majority of the -protons. Combined use of HCACO, HN(COCA)HA, HN(CA)HA, ¹⁵N TOCSY-HMQC and ¹⁵N NOESY-HMQC experiments provided the H chemical shifts. Correlations for glycine protons were absent from most of the spectra. A combination of automated and interactive steps was used in the process, similar to that outlined by Ikura et al. [(1990) J. Am. Chem. Soc., 112, 9020–9022] in the seminal paper on heteronuclear backbone assignment. A major impediment to the linking process was the amount of overlap in the C and H frequencies. Ambiguities resulting from this redundancy were solved primarily by assignment of amino acid type, using C chemical shifts and TOCSY ladders. Ninety-four percent of the backbone resonances are reported for this subtilisin. The secondary structure was analyzed using 3D ¹⁵N NOESY-HMQC data and C secondary chemical shifts. Comparison with the X-ray structure [Betzel et al. (1992) J. Mol. Biol., 223, 427–445] shows no major differences.Supplementary material available from F.J.M. van de Ven: the source code (PASCAL) for the computer program described in this paper.     

Novel projected 4D triple resonance experiments for polypeptide backbone chemical shift assignment

Here we present a novel suite of projected 4D triple-resonance NMR experiments for efficient sequential assignment of polypeptide backbone chemical shifts in ¹³C/¹⁵N doubly labeled proteins. In the 3D HNN[CAHA] and 3D HNN(CO)[CAHA] experiments, the ¹³C and ¹H chemical shifts evolve in a common dimension and are simultaneously detected in quadrature. These experiments are particularly useful for the assignment of glycine-rich polypeptide segments. Appropriate setting of the ¹H radiofrequency carrier allows one to place cross peaks correlating either backbone ¹⁵N/¹H^N/¹³C or ¹⁵N/¹H^N/¹H chemical shifts in separate spectral regions. Hence, peak overlap is not increased when compared with the conventional 3D HNNCA and HNN(CA)HA. 3D HNN[CAHA] and 3D HNN(CO)[CAHA] are complemented by 3D reduced-dimensionality (RD) HNN COCA and HNN CACO, where ¹³C and ¹³C chemical shifts evolve in a common dimension. The ¹³C shift is detected in quadrature, which yields peak pairs encoding the ¹³C chemical shift in an in-phase splitting. This suite of four experiments promises to be of value for automated high-throughput NMR structure determination in structural genomics, where the requirement to independently sample many indirect dimensions in a large number of NMR experiments may prevent one from accurately adjusting NMR measurement times to spectrometer sensitivity.     

1H and 15N resonance assignments and secondary structure of cellular retinoic acid-binding protein with and without bound ligand

Summary Sequence-specific assignments for the ¹H and ¹⁵N backbone resonances of cellular retinoic acid-binding protein (CRABP), with and without the bound ligand, have been obtained. Most of the side-chain resonances of both apo- and holo-CRABP have also been assigned. The assignments have been obtained using two-dimensional homonuclear and heteronuclear NMR data, and three-dimensional ¹H-¹⁵N TOCSY-HMQC and NOESY-HMQC experiments. The secondary structure, deduced from nuclear Overhauser effects, amide H/D exchange rates and H chemical shifts, is analogous in both forms of the protein and is completely consistent with a model of CRABP that had been constructed by homology with the crystal structure of myelin P2 protein [Zhang et al. (1992) Protein Struct. Funct. Genet., 13, 87–99]. This model comprises two five-stranded -sheets that form a sandwich or -clam structure, and a short N-terminal helix-turn-helix motif that closes the binding cavity between the two sheets. Comparison of the data obtained for apo- and holo-CRABP indicates that a region around the C-terminus of the second helix is much more flexible in the apo-protein. Our data provide experimental evidence for the hypothesis that the ligand-binding mechanism of CRABP, and of other homologous proteins that bind hydrophobic ligands in the cytoplasm, involves opening of a portal to allow entry of the ligand into the cavity.     

Detection of C′,C<Superscript>α</Superscript> correlations in proteins using a new time- and sensitivity-optimal experiment

Sensitivity- and time-optimal experiment, called COCAINE (CO-CA In- and aNtiphase spectra with sensitivity Enhancement), is proposed to correlate chemical shifts of ¹³C and ¹³C spins in proteins. A comparison of the sensitivity and duration of the experiment with the corresponding theoretical unitary bounds shows that the COCAINE experiment achieves maximum possible transfer efficiency in the shortest possible time, and in this sense the sequence is optimal. Compared to the standard HSQC, the COCAINE experiment delivers a 2.7-fold gain in sensitivity. This newly proposed experiment can be used for assignment of backbone resonances in large deuterated proteins effectively bridging ¹³C and ¹³C resonances in adjacent amino acids. Due to the spin-state selection employed, the COCAINE experiment can also be used for efficient measurements of one-bond couplings (e.g. scalar and residual dipolar couplings) in any two-spin system (e.g. the N/H in the backbone of protein).     

Hash: a program to accurately predict protein Hα shifts from neighboring backbone shifts

Chemical shifts provide not only peak identities for analyzing nuclear magnetic resonance (NMR) data, but also an important source of conformational information for studying protein structures. Current structural studies requiring H^α chemical shifts suffer from the following limitations. (1) For large proteins, the H^α chemical shifts can be difficult to assign using conventional NMR triple-resonance experiments, mainly due to the fast transverse relaxation rate of C^α that restricts the signal sensitivity. (2) Previous chemical shift prediction approaches either require homologous models with high sequence similarity or rely heavily on accurate backbone and side-chain structural coordinates. When neither sequence homologues nor structural coordinates are available, we must resort to other information to predict H^α chemical shifts. Predicting accurate H^α chemical shifts using other obtainable information, such as the chemical shifts of nearby backbone atoms (i.e., adjacent atoms in the sequence), can remedy the above dilemmas, and hence advance NMR-based structural studies of proteins. By specifically exploiting the dependencies on chemical shifts of nearby backbone atoms, we propose a novel machine learning algorithm, called Hash, to predict H^α chemical shifts. Hash combines a new fragment-based chemical shift search approach with a non-parametric regression model, called the generalized additive model, to effectively solve the prediction problem. We demonstrate that the chemical shifts of nearby backbone atoms provide a reliable source of information for predicting accurate H^α chemical shifts. Our testing results on different possible combinations of input data indicate that Hash has a wide rage of potential NMR applications in structural and biological studies of proteins.     

Chemical shift assignments and secondary structure of the Grb2 SH2 domain by heteronuclear NMR spectroscopy

Summary The growth factor receptor-bound protein-2 (Grb2) is an adaptor protein that mediates signal transduction pathways. Chemical shift assignments were obtained for the SH2 domain of Grb2 by heteronuclear NMR spectroscopy, employing the uniformly ¹³C-/¹⁵N-enriched protein as well as the protein containing selectively ¹⁵N-enriched amino acids. Using the Chemical Shift Index (CSI) method, the chemical shift indices of four nuclei, ¹H, ¹³C, ¹³C and ¹³CO, were used to derive the secondary structure of the protein. Nuclear Overhauser enhancements (NOEs) were then employed to confirm the secondary structure. The CSI results were compared to the secondary structural elements predicted for the Grb2 SH2 domain from a sequence alignment [Lee et al. (1994) Structure, 2, 423–438]. The core structure of the SH2 domain contains an antiparallel -sheet and two -helices. In general, the secondary structural elements determined from the CSI method agree well with those predicted from the sequence alignment.Abbreviations crk viral p47^gag-crk - EGF epidermal growth factor - GAP GTPase-activating protein - PI3K phosphatidylinositol-3-kinase - PLC- phospholipase-C-, shc, src homologous and collagen - src sarcoma family of nonreceptor tyrosine kinase     

HNCAN pulse sequences for sequential backbone resonance assignment across proline residues in perdeuterated proteins

A TROSY-based triple-resonance pulse scheme is described which correlates backbone ¹H and ¹⁵N chemical shifts of an amino acid residue with the ¹⁵N chemical shifts of both the sequentially preceding and following residues. The sequence employs ¹ J _NC and ² J _NC couplings in two sequential magnetization transfer steps in an `out-and-back' manner. As a result, N,N connectivities are obtained irrespective of whether the neighbouring amide nitrogens are protonated or not, which makes the experiment suitable for the assignment of proline resonances. Two different three-dimensional variants of the pulse sequence are presented which differ in sensitivity and resolution to be achieved in one of the nitrogen dimensions. The new method is demonstrated with two uniformly ²H/¹³C/¹⁵N-labelled proteins in the 30-kDa range.