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Nuclear magnetic resonance spectroscopy of proteins

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model is given by the degree of agreement between the model and a set of experimental data. Historically, the structures determined by NMR have been, in general, of lower quality than those determined by X-ray diffraction. This is due, in part, to the lower amount of information contained in data obtained by NMR. Because of this fact, it has become common practice to establish the quality of NMR ensembles, by comparing it against the unique conformation determined by X-ray diffraction, for the same protein. However, the X-ray diffraction structure may not exist, and, since the proteins in solution are flexible molecules, a protein represented by a single structure may lead to underestimate the intrinsic variation of the atomic positions of a protein. A set of conformations, determined by NMR or X-ray crystallography may be a better representation of the experimental data of a protein than a unique conformation.
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experiment is only able to transfer magnetization between protons on adjacent atoms, whereas in the total correlation spectroscopy experiment the protons are able to relay the magnetization, so it is transferred among all the protons that are connected by adjacent atoms. Thus in a conventional correlation spectroscopy, an alpha proton transfers magnetization to the beta protons, the beta protons transfers to the alpha and gamma protons, if any are present, then the gamma proton transfers to the beta and the delta protons, and the process continues. In total correlation spectroscopy, the alpha and all the other protons are able to transfer magnetization to the beta, gamma, delta, epsilon if they are connected by a continuous chain of protons. The continuous chain of protons are the sidechain of the individual
312:’s sidechain. Which chemical shifts corresponds to which nuclei in the spin system is determined by the conventional correlation spectroscopy connectivities and the fact that different types of protons have characteristic chemical shifts. To connect the different spinsystems in a sequential order, the nuclear Overhauser effect spectroscopy experiment has to be used. Because this experiment transfers magnetization through space, it will show crosspeaks for all protons that are close in space regardless of whether they are in the same spin system or not. The neighbouring residues are inherently close in space, so the assignments can be made by the peaks in the NOESY with other spin systems. 796:). The two most time-consuming processes involved are the sequence-specific resonance assignment (backbone and side-chain assignment) and the NOE assignment tasks. Several different computer programs have been published that target individual parts of the overall NMR structure determination process in an automated fashion. Most progress has been achieved for the task of automated NOE assignment. So far, only the FLYA and the UNIO approach were proposed to perform the entire protein NMR structure determination process in an automated manner without any human intervention. Modules in the 110:. Data collection relies on placing the sample inside a powerful magnet, sending radio frequency signals through the sample, and measuring the absorption of those signals. Depending on the environment of atoms within the protein, the nuclei of individual atoms will absorb different frequencies of radio signals. Furthermore, the absorption signals of different nuclei may be perturbed by adjacent nuclei. This information can be used to determine the distance between nuclei. These distances in turn can be used to determine the overall structure of the protein. 742:-based experiments. The types of motions that can be detected are motions that occur on a time-scale ranging from about 10 picoseconds to about 10 nanoseconds. In addition, slower motions, which take place on a time-scale ranging from about 10 microseconds to 100 milliseconds, can also be studied. However, since nitrogen atoms are found mainly in the backbone of a protein, the results mainly reflect the motions of the backbone, which is the most rigid part of a protein molecule. Thus, the results obtained from 434:). Usually several of these experiments are required to resolve overlap in the carbon dimension. This procedure is usually less ambiguous than the NOESY-based method since it is based on through bond transfer. In the NOESY-based methods, additional peaks corresponding to atoms that are close in space but that do not belong to sequential residues will appear, confusing the assignment process. Following the initial sequential resonance assignment, it is usually possible to extend the assignment from the C 600: 242:, which has no amide-hydrogen due to the cyclic nature of its backbone. Additional 15N-HSQC signals are contributed by each residue with a nitrogen-hydrogen bond in its side chain (W, N, Q, R, H, K). The 15N-HSQC is often referred to as the fingerprint of a protein because each protein has a unique pattern of signal positions. Analysis of the 15N-HSQC allows researchers to evaluate whether the expected number of peaks is present and thus to identify possible problems due to multiple 539: 591:, the reaction can be monitored by NMR spectroscopy. How rapidly a given amide exchanges reflects its solvent accessibility. Thus amide exchange rates can give information on which parts of the protein are buried, hydrogen-bonded, etc. A common application is to compare the exchange of a free form versus a complex. The amides that become protected in the complex, are assumed to be in the interaction interface. 219:. Pulse sequences allow the experimenter to investigate and select specific types of connections between nuclei. The array of nuclear magnetic resonance experiments used on proteins fall in two main categories — one where magnetization is transferred through the chemical bonds, and one where the transfer is through space, irrespective of the bonding structure. The first category is used to assign the different 755:
concept that proteins can exhibit a more flexible behaviour known as disorder or lack of structure; however, it is possible to describe an ensemble of structures instead of a static picture representing a fully functional state of the protein. Many advances are represented in this field in particular in terms of new pulse sequences, technological improvement, and rigorous training of researchers in the field.
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experiments. Another more serious problem is the fact that in large proteins the magnetization relaxes faster, which means there is less time to detect the signal. This in turn causes the peaks to become broader and weaker, and eventually disappear. Two techniques have been introduced to attenuate the relaxation:
95:") of the atom. These properties depend on the local molecular environment, and their measurement provides a map of how the atoms are linked chemically, how close they are in space, and how rapidly they move with respect to each other. These properties are fundamentally the same as those used in the more familiar 524:. Another approach uses the chemical shifts to generate angle restraints. Both methods use the fact that the geometry around the alpha carbon affects the coupling constants and chemical shifts, so given the coupling constants or the chemical shifts, a qualified guess can be made about the torsion angles. 670:
The utility of a model will be given, at least in part, by the degree of accuracy and precision of the model. An accurate model with relatively poor precision could be useful to study the evolutionary relationships between the structures of a set of proteins, whereas the rational drug design requires
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attempt to satisfy as many of the restraints as possible, in addition to general properties of proteins such as bond lengths and angles. The algorithms convert the restraints and the general protein properties into energy terms, and then try to minimize this energy. The process results in an ensemble
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One important problem using homonuclear nuclear magnetic resonance is overlap between peaks. This occurs when different protons have the same or very similar chemical shifts. This problem becomes greater as the protein becomes larger, so homonuclear nuclear magnetic resonance is usually restricted to
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Ideally, a model of a protein will be more accurate the more fit the actual molecule that represents and will be more precise as there is less uncertainty about the positions of their atoms. In practice there is no "standard molecule" against which to compare models of proteins, so the accuracy of a
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Depending on the concentration of the sample, the magnetic field of the spectrometer, and the type of experiment, a single multidimensional nuclear magnetic resonance experiment on a protein sample may take hours or even several days to obtain suitable signal-to-noise ratio through signal averaging,
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The ensemble of structures obtained is an "experimental model", i.e., a representation of certain kind of experimental data. To acknowledge this fact is important because it means that the model could be a good or bad representation of that experimental data. In general, the quality of a model will
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The most commonly performed 15N experiment is the H-N HSQC. The experiment is highly sensitive and therefore can be performed relatively quickly. It is often used to check the suitability of a protein for structure determination using NMR, as well as for the optimization of the sample conditions.
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in the Integrative NMR platform perform this task automatically on manually pre-processed listings of peak positions and peak volumes, coupled to a structure calculation. Direct access to the raw NOESY data without the cumbersome need of iteratively refined peak lists is so far only granted by the
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Schematic of an HNCA and HNCOCA for four sequential residues. The nitrogen-15 dimension is perpendicular to the screen. Each window is focused on the nitrogen chemical shift of that amino acid. The sequential assignment is made by matching the alpha carbon chemical shifts. In the HNCA each residue
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have recently been developed, which enables systematic studies of motions of the amino acid side-chains in proteins. A challenging and special case of study regarding dynamics and flexibility of peptides and full-length proteins is represented by disordered structures. Nowadays, it is an accepted
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or sample heterogeneity. The relatively quick heteronuclear single quantum correlation experiment helps determine the feasibility of doing subsequent longer, more expensive, and more elaborate experiments. It is not possible to assign peaks to specific atoms from the heteronuclear single quantum
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spectroscopy (NOESY). A two-dimensional nuclear magnetic resonance experiment produces a two-dimensional spectrum. The units of both axes are chemical shifts. The COSY and TOCSY transfer magnetization through the chemical bonds between adjacent protons. The conventional correlation spectroscopy
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by which it can be recognized. However, in large molecules such as proteins the number of resonances can typically be several thousand and a one-dimensional spectrum inevitably has incidental overlaps. Therefore, multidimensional experiments that correlate the frequencies of distinct nuclei are
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Structure determination by NMR has traditionally been a time-consuming process, requiring interactive analysis of the data by a highly trained scientist. There has been considerable interest in automating the process to increase the throughput of structure determination and to make protein NMR
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Traditionally, nuclear magnetic resonance spectroscopy has been limited to relatively small proteins or protein domains. This is in part caused by problems resolving overlapping peaks in larger proteins, but this has been alleviated by the introduction of isotope labelling and multidimensional
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and provides information about the relative orientation of the bond vectors relative to a single global reference frame. Typically the orientation of the N-H vector is probed in an HSQC-like experiment. Initially, residual dipolar couplings were used for refinement of previously determined
85:, among others. Structure determination by NMR spectroscopy usually consists of several phases, each using a separate set of highly specialized techniques. The sample is prepared, measurements are made, interpretive approaches are applied, and a structure is calculated and validated. 121:). Frequently, the interacting pair of proteins may have been identified by studies of human genetics, indicating the interaction can be disrupted by unfavorable mutations, or they may play a key role in the normal biology of a "model" organism like the fruit fly, yeast, the worm 503:
To obtain as accurate assignments as possible, it is a great advantage to have access to carbon-13 and nitrogen-15 NOESY experiments, since they help to resolve overlap in the proton dimension. This leads to faster and more reliable assignments, and in turn to better structures.
563:. This creates a local environment that favours certain orientations of nonspherical molecules. Normally in solution NMR the dipolar couplings between nuclei are averaged out because of the fast tumbling of the molecule. The slight overpopulation of one orientation means that a 674:
Since protein structures are experimental models that can contain errors, it is very important to be able to detect these errors. The process aimed at the detection of errors is known as validation. There are several methods to validate structures, some are statistical like
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performed. The additional dimensions decrease the chance of overlap and have a larger information content, since they correlate signals from nuclei within a specific part of the molecule. Magnetization is transferred into the sample using pulses of electromagnetic (
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It is of great importance to assign the NOESY peaks to the correct nuclei based on the chemical shifts. If this task is performed manually it is usually very labor-intensive, since proteins usually have thousands of NOESY peaks. Some computer programs such as
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Kuszewski J, Schwieters CD, Garrett DS, Byrd RA, Tjandra N, Clore GM (May 2004). "Completely automated, highly error-tolerant macromolecular structure determination from multidimensional nuclear overhauser enhancement spectra and chemical shift assignments".
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Nuclear magnetic resonance structure determination generates an ensemble of structures. The structures will converge only if the data is sufficient to dictate a specific fold. In these structures, it is the case for only a part of the structure. From
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within a molecule. Local fluctuating magnetic fields are generated by molecular motions. In this way, measurements of relaxation times can provide information of motions within a molecule on the atomic level. In NMR studies of protein dynamics, the
808:) are integrated so that it offers full automation with visual verification capability in each step. Efforts have also been made to standardize the structure calculation protocol to make it quicker and more amenable to automation. Recently, the 467:. The intensity of a NOESY peak is proportional to the distance to the minus 6th power, so the distance is determined according to the intensity of the peak. The intensity-distance relationship is not exact, so usually a distance range is used. 542:
The blue arrows represent the orientation of the N – H bond of selected peptide bonds. By determining the orientation of a sufficient amount of bonds relative to the external magnetic field, the structure of the protein can be determined. From
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It is one of the standard suite of experiments used for the determination of the solution structure of protein. The HSQC can be further expanded into three- and four dimensional NMR experiments, such as N-TOCSY-HSQC and N-NOESY-HSQC.
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Protein NMR utilizes multidimensional nuclear magnetic resonance experiments to obtain information about the protein. Ideally, each distinct nucleus in the molecule experiences a distinct electronic environment and thus has a distinct
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and to allow for sufficient evolution of magnetization transfer through the various dimensions of the experiment. Other things being equal, higher-dimensional experiments will take longer than lower-dimensional experiments.
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Chandak MS, Nakamura T, Makabe K, Takenaka T, Mukaiyama A, Chaudhuri TK, et al. (July 2013). "The H/D-exchange kinetics of the Escherichia coli co-chaperonin GroES studied by 2D NMR and DMSO-quenched exchange methods".
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NMR spectroscopy is nucleus specific. Thus, it can distinguish between hydrogen and deuterium. The amide protons in the protein exchange readily with the solvent, and, if the solvent contains a different isotope, typically
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In order to make structure calculations, a number of experimentally determined restraints have to be generated. These fall into different categories; the most widely used are distance restraints and angle restraints.
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Bax A, Ikura M (May 1991). "An efficient 3D NMR technique for correlating the proton and 15N backbone amide resonances with the alpha-carbon of the preceding residue in uniformly 15N/13C enriched proteins".
234:(HSQC) spectrum, where "heteronuclear" refers to nuclei other than 1H. In theory, the heteronuclear single quantum correlation has one peak for each H bound to a heteronucleus. Thus, in the 15N-HSQC, with a 2396: 1483:
Brünger AT, Adams PD, Clore GM, DeLano WL, Gros P, Grosse-Kunstleve RW, et al. (September 1998). "Crystallography & NMR system: A new software suite for macromolecular structure determination".
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The analyte molecules in a sample can be partially ordered with respect to the external magnetic field of the spectrometer by manipulating the sample conditions. Common techniques include addition of
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A typical study might involve how two proteins interact with each other, possibly with a view to developing small molecules that can be used to probe the normal biology of the interaction ("
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isotope is the preferred nucleus to study because its relaxation times are relatively simple to relate to molecular motions. This, however, requires isotope labeling of the protein. The T
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Markus MA, Dayie KT, Matsudaira P, Wagner G (October 1994). "Effect of deuteration on the amide proton relaxation rates in proteins. Heteronuclear NMR experiments on villin 14T".
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experiment signifies spatial proximity between the two nuclei in question. Thus each peak can be converted into a maximum distance between the nuclei, usually between 1.8 and 6
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to a specific nucleus, and the second is primarily used to generate the distance restraints used in the structure calculation, and in the assignment with unlabelled protein.
500:, the ATNOS/CANDID approach implemented in the UNIO software package, and the PONDEROSA-C/S and thus indeed guarantees objective and efficient NOESY spectral analysis. 358:
that transfer magnetisation over the peptide bond, and thus connect different spin systems through bonds. This is usually done using some of the following experiments,
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Clore GM, Gronenborn AM (1989). "Determination of three-dimensional structures of proteins and nucleic acids in solution by nuclear magnetic resonance spectroscopy".
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both precise and accurate models. A model that is not accurate, regardless of the degree of precision with which it was obtained will not be very useful.
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to the rest of the sidechain using experiments such as HCCH-TOCSY, which is basically a TOCSY experiment resolved in an additional carbon dimension.
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of the measured data set under the same conditions. The accuracy, however, indicates the degree to which a measurement approaches its "true" value.
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The experimentally determined restraints can be used as input for the structure calculation process. Researchers, using computer programs such as
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In order to analyze the nuclear magnetic resonance data, it is important to get a resonance assignment for the protein, that is to find out which
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Clore GM, Gronenborn AM (1991). "Applications of three- and four-dimensional heteronuclear NMR spectroscopy to protein structure determination".
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Clore GM, Gronenborn AM (June 1991). "Structures of larger proteins in solution: three- and four-dimensional heteronuclear NMR spectroscopy".
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With unlabelled protein the usual procedure is to record a set of two-dimensional homonuclear nuclear magnetic resonance experiments through
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of the molecule, which is desirable because the isotopes behave differently and provide methods for identifying overlapping NMR signals.
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of the model will be affected. The precision indicates the degree of reproducibility of the measurement and is often expressed as the
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to determine order parameters, correlation times, and chemical exchange rates. NMR relaxation is a consequence of local fluctuating
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relaxation measurements may not be representative of the whole protein. Therefore, techniques utilising relaxation measurements of
282:. The TOCSY shows off diagonal crosspeaks between all protons in the spectrum, but the COSY only has crosspeaks between neighbours. 231: 263:
using information derived from several different types of NMR experiment. The exact procedure depends on whether the protein is
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Spronk CA, Nabuurs SB, Krieger E, Vriend G, Vuister GW (2004). "Validation of protein structures derived by NMR spectroscopy".
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depend on both the quantity and quality of experimental data used to generate it and the correct interpretation of such data.
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NOESY-Based Strategy for Assignments of Backbone and Side Chain Resonances of Large Proteins without Deuteration (a protocol)
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protein. Usually, the sample consists of between 300 and 600 microlitres with a protein concentration in the range 0.1 – 3
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sees the alpha carbon of itself and the preceding residue. The HNCOCA only sees the alpha carbon of the preceding residue.
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suite, the successor of programs mentioned above, has been released to provide modern GUI tools and AI/ML features.
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plane contains the peaks from the carbonyl carbon from its residue as well the preceding one in the sequence. The
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contains the carbonyl carbon chemical shift from only the preceding residue, but is much more sensitive than
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Schwieters CD, Kuszewski JJ, Clore GM (2006). "Using Xplor-NIH for NMR molecular structure determination".
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Web service for the recognition of errors in experimentally or theoretically determined protein structures
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of proteins. By using these techniques it has been possible to study proteins in complex with the 900 kDa
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In addition to distance restraints, restraints on the torsion angles of the chemical bonds, typically the
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Fiaux J, Bertelsen EB, Horwich AL, Wüthrich K (July 2002). "NMR analysis of a 900K GroEL GroES complex".
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labelled protein, one signal is expected for each nitrogen atom in the back bone, with the exception of
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and adjusted to the desired solvent conditions. The NMR sample is prepared in a thin-walled glass
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de Alba E, Tjandra N (2004). "Residual dipolar couplings in protein structure determination".
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Lee W, Cornilescu G, Dashti H, Eghbalnia HR, Tonelli M, Westler WM, et al. (April 2016).
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Every experiment has associated errors. Random errors will affect the reproducibility and
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of structures that, if the data were sufficient to dictate a certain fold, will converge.
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Typically, the first experiment to be measured with an isotope-labelled protein is a 2D
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or not, since a lot of the assignment experiments depend on carbon-13 and nitrogen-15.
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When the protein is labelled with carbon-13 and nitrogen-15 it is possible to record
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proteins are usually easier to produce in sufficient quantity, and this method makes
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Rieping W, Habeck M, Bardiaux B, Bernard A, Malliavin TE, Nilges M (February 2007).
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Liu G, Shen Y, Atreya HS, Parish D, Shao Y, Sukumaran DK, et al. (July 2005).
2106: 2098: 2059: 2035: 2015: 1980: 1935: 1925: 1886: 1849: 1841: 1830:"What can we learn by computing 13Calpha chemical shifts for X-ray protein models?" 1772: 1736: 1728: 1679: 1646: 1638: 1597: 1589: 1548: 1540: 1493: 1455: 1444:"ARIA2: automated NOE assignment and data integration in NMR structure calculation" 1406: 1360: 1332: 1297: 1243: 1235: 1193: 1149: 1121: 1094: 1051: 1016: 979: 938: 930: 884: 851: 846: 821: 700: 680: 621: 517: 480: 118: 114: 54: 42: 2383: 919: 215:) energy and between nuclei using delays; the process is described with so-called 58: 2390: 1355:
Herrmann T (2010). "Protein structure calculation and automated NOE restraints".
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structures, but attempts at de novo structure determination have also been made.
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Proceedings of the National Academy of Sciences of the United States of America
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Proceedings of the National Academy of Sciences of the United States of America
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such as APES (two-letter-code: ae), I-PINE/PINE-SPARKY (two-letter-code: ep;
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Protein nuclear magnetic resonance is performed on aqueous samples of highly
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Fundamentals of Protein NMR Spectroscopy (Focus on Structural Biology)
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Rance M, Cavanagh J, Fairbrother WJ, Hunt III AW, Skelton NJ (2007).
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Wüthrich K (November 2001). "The way to NMR structures of proteins".
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Güntert P (2004). "Automated NMR structure calculation with CYANA".
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Kuszewski JJ, Thottungal RA, Clore GM, Schwieters CD (August 2008).
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Bax A, Grzesiek S (1993). "Methodological advances in protein NMR".
1063: 684: 660: 492: 194: 163:. The source of the protein can be either natural or produced in a 148: 1221: 45:
is used to obtain information about the structure and dynamics of
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Lee W, Petit CM, Cornilescu G, Stark JL, Markley JL (June 2016).
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Schwieters CD, Kuszewski JJ, Tjandra N, Clore GM (January 2003).
968:"Protein structure determination in solution by NMR spectroscopy" 809: 710: 567:
remains to be observed. The dipolar coupling is commonly used in
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Comparison of a COSY and TOCSY 2D spectra for an amino acid like
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involves the quantum-mechanical properties of the central core ("
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Currently most samples are examined in a solution in water, but
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Kuenze, G; Bonneau, R; Leman, JK; Meiler, J (5 November 2019).
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of the resulting structures. If the errors are systematic, the
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can yield information on the dynamics of various parts of the
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Protein structure determination from sparse experimental data
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Acta Crystallographica. Section D, Biological Crystallography
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Acta Crystallographica. Section D, Biological Crystallography
1278:"The Xplor-NIH NMR molecular structure determination package" 780: 776: 765: 625: 460: 334: 143: 1624: 1441: 713:. This usually involves measuring relaxation times such as T 270: 1962: 1828:
Arnautova YA, Vila JA, Martin OA, Scheraga HA (July 2009).
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to the sample, or preparation of the sample in a stretched
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methods are being developed to also work with solid samples
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Pervushin K, Riek R, Wider G, Wüthrich K (November 1997).
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corresponds to which atom. This is typically achieved by
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Nuclear magnetic resonance spectroscopy of nucleic acids
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Nuclear magnetic resonance spectroscopy of carbohydrates
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relaxation times can be measured using various types of
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Triple-resonance nuclear magnetic resonance spectroscopy
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Critical Reviews in Biochemistry and Molecular Biology
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Laskowski RA (2003). "Structural quality assurance".
1395:. Methods Mol. Biol. Vol. 278. pp. 353–78. 917: 758: 687:, or a mixture of statistical and physics principles 430:
contains both the alpha carbon and the beta carbon (C
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Carbon-13 and nitrogen-15 nuclear magnetic resonance
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Nuclear magnetic resonance spectroscopy of proteins
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Progress in Nuclear Magnetic Resonance Spectroscopy
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Progress in Nuclear Magnetic Resonance Spectroscopy
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Progress in Nuclear Magnetic Resonance Spectroscopy
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Heteronuclear single quantum coherence spectroscopy
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Nuclear magnetic resonance spectroscopy of proteins
2314: 147:The NMR sample is prepared in a thin-walled glass 53:, and their complexes. The field was pioneered by 2296:Protein NMR spectroscopy: principles and practice 2084: 683:while others are based on physical principles as 2694: 2192: 2438: 1575: 1084: 1041: 1006: 516:, can be generated. One approach is to use the 418:works similarly, just with the alpha carbons (C 189:The purified protein is usually dissolved in a 18:Protein nuclear magnetic resonance spectroscopy 2269:Structural biology: practical NMR applications 1673: 575: 2424: 2193:Lee W, Rahimi M, Lee Y, Chiu A (March 2021). 1576:Lee W, Stark JL, Markley JL (November 2014). 2245: 1520: 1271: 1269: 1267: 786: 766:transverse relaxation optimized spectroscopy 2085:Lee W, Tonelli M, Markley JL (April 2015). 1627:"Integrative NMR for biomolecular research" 1111: 918:Clore GM, Wasylishen RL, Harris RK (2011). 868: 2431: 2417: 1132: 804:) and PONDEROSA (two-letter-code: c3, up; 2380:Software for the analysis of NMR dynamics 2218: 2169: 2159: 2110: 1939: 1929: 1853: 1766: 1740: 1650: 1601: 1552: 1459: 1400: 1264: 1247: 983: 527: 2312: 2298:(2nd ed.). Boston: Academic Press. 1386: 1384: 1354: 1217: 1215: 1186:Journal of the American Chemical Society 1138: 965: 874: 598: 594: 537: 333: 269: 232:heteronuclear single quantum correlation 142: 2718:Nuclear magnetic resonance spectroscopy 1965:Journal of Magnetic Resonance, Series B 1390: 1350: 1348: 1346: 636: 445: 250: 14: 2695: 925:. In Harris RK, Wasylishen RL (eds.). 454: 320:Nitrogen-15 nuclear magnetic resonance 287:Homonuclear nuclear magnetic resonance 2412: 1381: 1212: 422:) rather than the carbonyls, and the 138: 2266: 1343: 1176: 911: 520:, to generate angle restraints from 972:The Journal of Biological Chemistry 507: 24: 2238: 1771:. Vol. 44. pp. 273–303. 1357:Encyclopedia of Magnetic Resonance 927:Encyclopedia of Magnetic Resonance 759:NMR spectroscopy on large proteins 200: 25: 2729: 2337: 2317:NMR of proteins and nucleic acids 131:. This also permits changing the 2526:Dual-polarization interferometry 1365:10.1002/9780470034590.emrstm1151 920:"Adventures in Biomolecular NMR" 97:magnetic resonance imaging (MRI) 2186: 2127: 2078: 2042: 1999: 1956: 1897: 1870: 1821: 1708: 1667: 1618: 1569: 1476: 1435: 1316: 792:accessible to non-experts (See 2557:Analytical ultracentrifugation 2399:- an introductory presentation 2211:10.1093/bioinformatics/btab180 1105: 1078: 1035: 1000: 959: 496:PASD algorithm implemented in 13: 1: 2562:Size exclusion chromatography 2454:Cryogenic electron microscopy 2246:Hitchens TK, Rule GS (2005). 2103:10.1093/bioinformatics/btu830 1461:10.1093/bioinformatics/btl589 1302:10.1016/S1090-7807(02)00014-9 1282:Journal of Magnetic Resonance 1114:Accounts of Chemical Research 985:10.1016/S0021-9258(18)45665-7 862: 2661:Protein structure prediction 2363:Resources in other libraries 2052:Journal of Molecular Biology 1099:10.1016/0079-6565(91)80002-J 966:Wüthrich K (December 1990). 356:triple resonance experiments 316:small proteins or peptides. 7: 2619:Hydrogen–deuterium exchange 2440:Protein structural analysis 1891:10.1016/j.pnmrs.2004.08.003 1631:Journal of Biomolecular NMR 1582:Journal of Biomolecular NMR 1533:Journal of Biomolecular NMR 1337:10.1016/j.pnmrs.2005.10.001 1228:Journal of Biomolecular NMR 1142:Journal of Biomolecular NMR 815: 705:In addition to structures, 694: 582:Hydrogen–deuterium exchange 576:Hydrogen–deuterium exchange 73:, Angela Gronenborn at the 27:Field of structural biology 10: 2734: 827:Nuclear magnetic resonance 707:nuclear magnetic resonance 698: 640: 579: 531: 347: 323: 2674: 2653: 2637: 2624:Site-directed mutagenesis 2611: 2580: 2549: 2508: 2482: 2446: 2358:Resources in your library 2064:10.1016/j.jmb.2013.04.008 1846:10.1107/S0907444909012086 1769:Structural Bioinformatics 1733:10.1016/j.str.2019.08.012 1684:10.1385/1-59259-809-9:089 1643:10.1007/s10858-016-0029-x 1594:10.1007/s10858-014-9855-x 1545:10.1007/s10858-016-0036-y 1498:10.1107/s0907444998003254 1411:10.1385/1-59259-809-9:353 1240:10.1007/s10858-008-9255-1 1021:10.3109/10409238909086962 929:. John Wiley & Sons. 877:Nature Structural Biology 787:Automation of the process 565:residual dipolar coupling 534:Residual dipolar coupling 301:nuclear Overhauser effect 299:spectroscopy (TOCSY) and 2469:Electron crystallography 1931:10.1073/pnas.94.23.12366 293:correlation spectroscopy 2588:Fluorescence anisotropy 2550:Translational diffusion 2541:Fluorescence anisotropy 2405:Protein NMR experiments 2161:10.1073/pnas.0504338102 1777:10.1002/0471721204.ch14 1056:10.1126/science.2047852 842:Protein crystallization 1985:10.1006/jmrb.1994.1122 1676:Protein NMR Techniques 1393:Protein NMR Techniques 613: 548: 528:Orientation restraints 340: 283: 152: 129:bacterial fermentation 2683:Quaternary structure→ 2645:Equilibrium unfolding 2629:Chemical modification 2598:Dielectric relaxation 2459:X-ray crystallography 935:10.1002/9780470034590 857:X-ray crystallography 602: 595:Structure calculation 541: 337: 273: 265:isotopically labelled 146: 33:(usually abbreviated 2581:Rotational diffusion 2271:. Berlin: Springer. 2252:. Berlin: Springer. 1727:(11): 1721–1734.e5. 806:PONDEROSA web server 643:Structure validation 637:Structure validation 446:Restraint generation 251:Resonance assignment 133:isotopic composition 2678:←Tertiary structure 2321:. New York: Wiley. 2313:Wüthrich K (1986). 2277:2005stbi.book.....T 2152:2005PNAS..10210487L 2146:(30): 10487–10492. 2020:10.1038/nature00860 1977:1994JMRB..105..192M 1922:1997PNAS...9412366P 1916:(23): 12366–12371. 1294:2003JMagR.160...65S 1126:10.1021/ar00028a001 1050:(5011): 1390–1399. 978:(36): 22059–22062. 889:10.1038/nsb1101-923 794:structural genomics 455:Distance restraints 247:correlation alone. 173:genetic engineering 171:techniques through 2593:Flow birefringence 2521:Circular dichroism 2389:2011-05-11 at the 1154:10.1007/BF01874573 614: 561:polyacrylamide gel 549: 522:coupling constants 514:psi and phi angles 341: 284: 261:sequential walking 153: 139:Sample preparation 83:Harvard University 39:structural biology 2713:Protein structure 2690: 2689: 2666:Molecular docking 2495:Mass spectrometry 2490:Fiber diffraction 2483:Medium resolution 2344:Library resources 2328:978-0-471-82893-8 2305:978-0-12-164491-8 2286:978-0-387-24367-2 2259:978-1-4020-3499-2 2205:(18): 3041–3042. 2014:(6894): 207–211. 1840:(Pt 7): 697–703. 1693:978-1-59259-809-0 1492:(Pt 5): 905–921. 1420:978-1-59259-809-0 1198:10.1021/ja049786h 1192:(20): 6258–6273. 802:I-PINE web server 459:A crosspeak in a 297:total correlation 165:production system 16:(Redirected from 2725: 2567:Light scattering 2433: 2426: 2419: 2410: 2409: 2332: 2320: 2309: 2290: 2263: 2233: 2232: 2222: 2190: 2184: 2183: 2173: 2163: 2131: 2125: 2124: 2114: 2097:(8): 1325–1327. 2082: 2076: 2075: 2046: 2040: 2039: 2003: 1997: 1996: 1960: 1954: 1953: 1943: 1933: 1901: 1895: 1894: 1885:(3–4): 315–337. 1874: 1868: 1867: 1857: 1825: 1819: 1818: 1812: 1808: 1806: 1798: 1764: 1755: 1754: 1744: 1712: 1706: 1705: 1671: 1665: 1664: 1654: 1622: 1616: 1615: 1605: 1573: 1567: 1566: 1556: 1524: 1518: 1517: 1480: 1474: 1473: 1463: 1439: 1433: 1432: 1404: 1388: 1379: 1378: 1352: 1341: 1340: 1320: 1314: 1313: 1273: 1262: 1261: 1251: 1219: 1210: 1209: 1180: 1174: 1173: 1136: 1130: 1129: 1109: 1103: 1102: 1082: 1076: 1075: 1039: 1033: 1032: 1004: 998: 997: 987: 963: 957: 956: 924: 915: 909: 908: 872: 852:Relaxation (NMR) 847:Protein dynamics 822:NMR spectroscopy 701:Protein dynamics 518:Karplus equation 508:Angle restraints 429: 425: 417: 413: 409: 405: 397: 393: 387: 381: 375: 369: 363: 175:. Recombinantly 119:drug development 115:chemical biology 55:Richard R. Ernst 43:NMR spectroscopy 37:) is a field of 21: 2733: 2732: 2728: 2727: 2726: 2724: 2723: 2722: 2703:Protein methods 2693: 2692: 2691: 2686: 2685: 2680: 2670: 2649: 2633: 2607: 2576: 2545: 2504: 2478: 2447:High resolution 2442: 2437: 2391:Wayback Machine 2369: 2368: 2367: 2352: 2351: 2347: 2340: 2335: 2329: 2306: 2287: 2267:Teng Q (2005). 2260: 2241: 2239:Further reading 2236: 2191: 2187: 2132: 2128: 2083: 2079: 2058:(14): 2541–60. 2047: 2043: 2004: 2000: 1961: 1957: 1902: 1898: 1875: 1871: 1826: 1822: 1810: 1809: 1800: 1799: 1787: 1765: 1758: 1713: 1709: 1694: 1672: 1668: 1623: 1619: 1574: 1570: 1525: 1521: 1481: 1477: 1440: 1436: 1421: 1402:10.1.1.332.4843 1389: 1382: 1375: 1353: 1344: 1321: 1317: 1274: 1265: 1220: 1213: 1181: 1177: 1137: 1133: 1110: 1106: 1083: 1079: 1040: 1036: 1005: 1001: 964: 960: 953: 922: 916: 912: 883:(11): 923–925. 873: 869: 865: 818: 789: 761: 737: 733: 723:magnetic fields 720: 716: 703: 697: 645: 639: 597: 584: 578: 569:solid state NMR 536: 530: 510: 457: 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2126: 2091:Bioinformatics 2077: 2041: 1998: 1971:(2): 192–195. 1955: 1896: 1869: 1820: 1811:|journal= 1785: 1756: 1707: 1692: 1666: 1637:(4): 307–332. 1617: 1588:(2–3): 73–75. 1568: 1519: 1475: 1454:(3): 381–382. 1448:Bioinformatics 1434: 1419: 1380: 1374:978-0470034590 1373: 1342: 1315: 1263: 1234:(4): 221–239. 1211: 1175: 1131: 1120:(4): 131–138. 1104: 1077: 1034: 1015:(5): 479–564. 999: 958: 951: 910: 866: 864: 861: 860: 859: 854: 849: 844: 839: 834: 829: 824: 817: 814: 788: 785: 760: 757: 735: 731: 718: 714: 696: 693: 641:Main article: 638: 635: 596: 593: 580:Main article: 577: 574: 553:bacteriophages 532:Main article: 529: 526: 509: 506: 456: 453: 447: 444: 439: 435: 431: 419: 399: 348:Main article: 345: 342: 324:Main article: 321: 318: 288: 285: 257:chemical shift 252: 249: 213:radiofrequency 208:chemical shift 202: 199: 140: 137: 79:Gerhard Wagner 26: 9: 6: 4: 3: 2: 2730: 2719: 2716: 2714: 2711: 2709: 2706: 2704: 2701: 2700: 2698: 2684: 2679: 2673: 2667: 2664: 2662: 2659: 2658: 2656: 2654:Computational 2652: 2646: 2643: 2642: 2640: 2638:Thermodynamic 2636: 2630: 2627: 2625: 2622: 2620: 2617: 2616: 2614: 2610: 2604: 2601: 2599: 2596: 2594: 2591: 2589: 2586: 2585: 2583: 2579: 2573: 2570: 2568: 2565: 2563: 2560: 2558: 2555: 2554: 2552: 2548: 2542: 2539: 2537: 2534: 2532: 2529: 2527: 2524: 2522: 2519: 2517: 2514: 2513: 2511: 2509:Spectroscopic 2507: 2501: 2498: 2496: 2493: 2491: 2488: 2487: 2485: 2481: 2475: 2472: 2470: 2467: 2465: 2462: 2460: 2457: 2455: 2452: 2451: 2449: 2445: 2441: 2434: 2429: 2427: 2422: 2420: 2415: 2414: 2411: 2404: 2401: 2398: 2395: 2392: 2388: 2385: 2382: 2379: 2376: 2374: 2371: 2370: 2364: 2361: 2359: 2356: 2355: 2350: 2345: 2330: 2324: 2319: 2318: 2311: 2307: 2301: 2297: 2292: 2288: 2282: 2278: 2274: 2270: 2265: 2261: 2255: 2251: 2250: 2244: 2243: 2230: 2226: 2221: 2216: 2212: 2208: 2204: 2200: 2196: 2189: 2181: 2177: 2172: 2167: 2162: 2157: 2153: 2149: 2145: 2141: 2137: 2130: 2122: 2118: 2113: 2108: 2104: 2100: 2096: 2092: 2088: 2081: 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Index

Protein nuclear magnetic resonance spectroscopy
structural biology
NMR spectroscopy
proteins
nucleic acids
Richard R. Ernst
Kurt Wüthrich
ETH
Ad Bax
Marius Clore
NIH
Gerhard Wagner
Harvard University
NMR
nucleus
magnetic resonance imaging (MRI)
nanometers
methods are being developed to also work with solid samples
chemical biology
drug development
C. elegans
bacterial fermentation
isotopic composition

tube
purified
millimolar
production system
recombinant DNA
genetic engineering

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