Application of automated NOE assignment to three-dimensional structure refinement of a 28 kDa single-chain T cell receptor

An automated procedure for NOE assignment and three-dimensional structure refinement is presented. The input to the procedure consists of (1) an ensemble of preliminary protein NMR structures, (2) partial sequence-specific assignments for the protein and (3) the positions and volumes of unassigned NOESY cross peaks. Chemical shifts for unassigned side chain protons are predicted from the preliminary structures. The chemical shifts and unassigned NOESY cross peaks are input to an automated procedure for NOE assignment and structure calculation (ARIA) [Nilges et al. (1997) J. Mol. Biol., 269, 408–422]. ARIA is optimized for the task of structure refinement of larger proteins. Errors are filtered to ensure that sequence-specific assignments are reliable. The procedure is applied to the 27.8 kDa single-chain T cell receptor (scTCR). Preliminary NMR structures, nearly complete backbone assignments, partial assignments of side chain protons and more than 1300 unassigned NOESY cross peaks are input. Using the procedure, the resonant frequencies of more than 40 additional side chain protons are assigned. Over 400 new NOE cross peaks are assigned unambiguously. Distances derived from the automatically assigned NOEs improve the precision and quality of calculated scTCR structures. In the refined structures, a hydrophobic cluster of side chains on the scTCR surface that binds major histocompatibility complex (MHC)/antigen is revealed. It is composed of the side chains of residues from three loops and stabilizes the conformation of residues that interact with MHC.     

Amide proton temperature coefficients as hydrogen bond indicators in proteins

Correlations between amide proton temperature coefficients (_HN/T) and hydrogen bonds were investigated for a data set of 793 amides derived from 14 proteins. For amide protons showing temperature gradients more positive than –4.6 ppb/K there is a hydrogen bond predictivity value exceeding 85%. It increases to over 93% for amides within the range between –4 and –1 ppb/K. Detailed analysis shows an inverse proportionality between amide proton temperature coefficients and hydrogen bond lengths. Furthermore, for hydrogen bonds of similar bond lengths, values of temperature gradients in -helices are on average 1 ppb/K more negative than in -sheets. In consequence, a number of amide protons in -helices involved in hydrogen bonds shorter than 2 Å show _HN/T < –4.6 ppb/K. Due to longer hydrogen bonds, 90% of amides in 3₁₀ helices and 98% in -turns have temperature coefficients more positive than –4.6ppb/K. Ring current effect also significantly influences temperature coefficients of amide protons. In seven out of eight cases non-hydrogen bonded amides strongly deshielded by neighboring aromatic rings show temperature coefficients more positive than –2 ppb/K. In general, amide proton temperature gradients do not change with pH unless they correspond to conformational changes. Three examples of pH dependent equilibrium showing hydrogen bond formation at higher pH were found. In conclusion, amide proton temperature coefficients offer an attractive and simple way to confirm existence of hydrogen bonds in NMR determined structures.     

Regression formulae for ab initio and density functional calculated chemical shifts

Linear regression formulae are given for converting ¹H and ¹³C magnetic shielding constants calculated at common ab initio and density functional theory levels of calculation into chemical shifts relative to tetramethylsilane. Accuracies of roughly ±2.2 ppm (¹³C) and ±0.15 ppm (¹H) or better are found for the training set for most levels. The highest level calculations do not always give better results than economical standard calculations.Electronic Supplementary Material Supplementary material is available for this article at     

Smartnotebook: A semi-automated approach to protein sequential NMR resonance assignments

Complete and accurate NMR spectral assignment is a prerequisite for high-throughput automated structure determination of biological macromolecules. However, completely automated assignment procedures generally encounter difficulties for all but the most ideal data sets. Sources of these problems include difficulty in resolving correlations in crowded spectral regions, as well as complications arising from dynamics, such as weak or missing peaks, or atoms exhibiting more than one peak due to exchange phenomena. Smartnotebook is a semi-automated assignment software package designed to combine the best features of the automated and manual approaches. The software finds and displays potential connections between residues, while the spectroscopist makes decisions on which connection is correct, allowing rapid and robust assignment. In addition, smartnotebook helps the user fit chains of connected residues to the primary sequence of the protein by comparing the experimentally determined chemical shifts with expected shifts derived from a chemical shift database, while providing bookkeeping throughout the assignment procedure.     

The conformation of a tetratritylated α-cyclodextrin with unusual proton NMR

Tetratritylation of α-cyclodextrin (CD) and subsequent peracetylation of the partially tritylated mixture allowed the preparation and isolation of the symmetrical 6^A,6^B,6^D,6^E-tetratritylated α-CD in pure form. The ¹H NMR spectra of the compound showed abnormal behaviour with the anomeric proton of one of the glycopyranosyl systems resonating below 3.0 ppm, which is exceptionally unusual. To understand this anomaly in the ¹H NMR data, we performed a complete NMR analysis and using molecular modelling as a tool, we were able to obtain a conformation that can explain the observed NMR phenomenon.     

Theoretical 49Ti NMR chemical shifts

⁴⁹Ti chemical shifts for a total of 20 titanium complexes are reported, and several levels of theory are evaluated in order to identify a reliable approach for the calculation of titanium NMR data. The popular B3LYP/6–31G(d)//B3LYP/6–31G(d) proves to give very good agreement with experimental data over a range from 1,400 to −1,300 ppm. The MP2/6–31G(d)//MP2/6–31G(d) level computes even smaller average deviations but fails for TiI₄. This behavior together with its huge demand for computational resources requires careful handling of this theoretical level. In addition, NMR data for five titanium fulvene (or related) complexes are given. Dedicated to Professor Dr. Paul von Ragué Schleyer on the occasion of his 75th birthday     

CheckShift: automatic correction of inconsistent chemical shift referencing

The construction of a consistent protein chemical shift database is an important step toward making more extensive use of this data in structural studies. Unfortunately, progress in this direction has been hampered by the quality of the available data, particularly with respect to chemical shift referencing, which is often either inaccurate or inconsistently annotated. Preprocessing of the data is therefore required to detect and correct referencing errors. We have developed a program for performing this task, based on the comparison of reported and expected chemical shift distributions. This program, named CheckShift, does not require additional data and is therefore applicable to data sets where structures are not available. Therefore CheckShift provides the possibility to re-reference chemical shifts prior to their use as structural constraints.     

Structural characterisation of the human alpha-lactalbumin molten globule at high temperature

Molten globules are partially folded forms of proteins thought to be general intermediates in protein folding. The 15N-1H HSQC NMR spectrum of the human alpha-lactalbumin (alpha-LA) molten globule at pH 2 and 20 degrees C is characterised by broad lines which make direct study by NMR methods difficult; this broadening arises from conformational fluctuations throughout the protein on a millisecond to microsecond timescale. Here, we find that an increase in temperature to 50 degrees C leads to a dramatic sharpening of peaks in the 15N-1H HSQC spectrum of human alpha-LA at pH 2. Far-UV CD and ANS fluorescence experiments demonstrate that under these conditions human alpha-LA maintains a high degree of helical secondary structure and the exposed hydrophobic surfaces that are characteristic of a molten globule. Analysis of the H(alpha), H(N) and 15N chemical shifts of the human alpha-LA molten globule at 50 degrees C leads to the identification of regions of native-like helix in the alpha-domain and of non-native helical propensity in the beta-domain. The latter may be responsible for the observed overshoot in ellipticity at 222 nm in kinetic refolding experiments.     

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