Solution Structure Determination Of Proteins Research Articles

13C Direct Detected NMR Increases the Detectability of Residual Dipolar Couplings

13C direct detection is becoming an increasingly efficient approach to identify signals of residues that escape detection in 1H detected experiments. Pulse sequences have been developed to obtain 1H partially recoupled experiments for the measurement of the 1JHalphaCalpha and 1JHN couplings with the same resolution available in conventional 1H detected experiments. A consistent set of backbone rdc obtained without any 1H-based experiment has been obtained and shown to be effective for protein solution structure determination.

A use of Ramachandran potentials in protein solution structure determinations.

A strategy is developed to use database-derived phi-psi constraints during simulated annealing procedures for protein solution structure determination in order to improve the Ramachandran plot statistics, while maintaining the agreement with the experimental constraints as the sole criterion for the selection of the family. The procedure, fully automated, consists of two consecutive simulated annealing runs. In the first run, the database-derived phi-psi constraints are enforced for all amino acids (but prolines and glycines). A family of structures is then selected on the ground of the lowest violations of the experimental constraints only, and the phi-psi values for each residue are examined. In the second and final run, the database-derived phi-psi constraints are enforced only for those residues which in the first run have ended in one and the same favored phi-psi region. For residues which are either spread over different favored regions or concentrated in disallowed regions, the constraints are not enforced. The final family is then selected, after the second run, again only based on the agreement with the experimental constraints. This automated approach was implemented in DYANA and was tested on as many as 12 proteins, including some containing paramagnetic metals, whose structures had been previously solved in our laboratory. The quality of the structures, and of Ramachandran plot statistics in particular, was notably improved while preserving the agreement with the experimental constraints.

Partial Orientation of Oxidized and Reduced Cytochromeb5at High Magnetic Fields: Magnetic Susceptibility Anisotropy Contributions and Consequences for Protein Solution Structure Determination

The backbone 15N−1H 1J values have been measured for oxidized and reduced cytochrome b5 at 500 and 800 MHz. Their field dependence, due to increasing partial orientation of the molecule in solution at high magnetic fields, provides structural constraints relative to the orientation of the NH bond vector with respect to the principal directions of the molecular susceptibility tensor. The constraints have been used in a distance geometry algorithm together with the NOE constraints and with or without pseudocontact shifts constraints. The three sets of constraints are found to be consistent with one another, and their relative contribution to the definition of the structure depends on the number of constraints and their assigned weight. The orientation-dependent 15N−1H 1J values provide the principal directions and anisotropies of the molecular or overall magnetic susceptibility tensor, χmol. The χmol parameters obtained for the oxidized form differ from those for the diamagnetic reduced form essentially by the magnetic susceptibility of the paramagnetic ion, whose anisotropy is responsible for the occurrence of pseudocontact shifts. The χmol tensor of the paramagnetic form displays a sizable rhombic anisotropy, thus permitting the full assessment of the orientation of individual amide vectors in the molecular axes frame.

Paramagnetic relaxation as a tool for solution structure determination:Clostridium pasteurianum ferredoxin as an example

The possibility of using the relaxation properties of nuclei for solution structure determination of paramagnetic metalloproteins is critically evaluated. First of all, it is theoretically and experimentally demonstrated that magnetization recovery in nonselective inversion recovery experiments can be approximated to an exponential in both diamagnetic and paramagnetic systems. This permits the estimate of the contribution of paramagnetic relaxation when dominant or sizable. Then, it is shown that the averaging of paramagnetic relaxation rates due to cross relaxation is often tolerably small with respect to the use of paramagnetic relaxation rates as constraints for structural determination. Finally, a protocol is proposed to use such paramagnetic relaxation rates, which depend on the sixth power of the metal to resonating nucleus distance, as constraints for solution structure determination of proteins. As an example, the available solution structure of the oxidized ferredoxin from Clostridium pasteurianum has been significantly improved in resolution especially in the proximity of the metal ions by using 69 new constraints based on paramagnetic relaxation.

Protein solution structure determination using distances from two-dimensional nuclear Overhauser effect experiments: effect of approximations on the accuracy of derived structures.

Solution structures for many proteins have been determined to date utilizing interproton distance constraints estimated from two-dimensional nuclear Overhauser effect (2D NOE) spectra. Although the simple isolated spin pair approximation (ISPA) generally used can result in systematic errors in distances, the large number of constraints enables protein structure to be defined with reasonably high resolution. Effects of these systematic errors on the resulting protein structure are examined. Iterative relaxation matrix calculations, which account for dipolar interactions between all protons in a molecule, can accurately determine internuclear distances with little or no a priori knowledge of the molecular structure. The value of this additional complexity is also addressed. To assess these distance determination methods, hypothetical "experimental" data, including random noise and peak overlap, are calculated for an arbitrary "true" protein structure. Three methods of obtaining distance constraints from 2D NOE peak intensities are examined: one entails a conservative use of ISPA, one assumes the ISPA to be fairly accurate, and one utilizes an iterative relaxation matrix method called MARDIGRAS (matrix analysis of relaxation for discerning the geometry of an aqueous structure), developed in this laboratory. A distance geometry algorithm was used to generate a family of structures for each distance set. The quality of the average structure from each family was good. The root-mean-square deviation of that average structure from the true structure was improved about 2-5% using the more restrictive rather than the more conservative ISPA approach. Use of MARDIGRAS in a conservative fashion--i.e., with a poor initial model--resulted in improvement in the root-mean-square deviation by 8-15%. With a better initial model, MARDIGRAS obtained even more accurate distances. MARDIGRAS also permits analysis of 2D NOE data at longer mixing times, yielding additional distances. Use of more restrictive ISPA distances did, however, result in a few systematically incorrect structural features in local regions of the protein, producing distortions of 2-3 A. Comparison between experimental data and spectra calculated for the structures correlates with root-mean-square deviation, offering a method of structure evaluation. An R factor for evaluating fit between experimental and calculated 2D NOE intensities is proposed.