Automated 2D NOESY assignment and structure calculation of Crambin(S22/I25) with the self-correcting distance geometry based NOAH/DIAMOD programs.

The NOAH/DIAMOD program suite was used to automatically assign an experimental 2D NOESY spectrum of the 46 residue protein crambin(S22/I25), using feedback filtering and self-correcting distance geometry (SECODG). Automatically picked NOESY cross peaks were combined with 157 manually assigned peaks to start NOAH/DIAMOD calculations. At each cycle, DIAMOD was used to calculate an ensemble of 40 structures from these NOE distance constraints and random starting structures. The 10 structures with smallest target function values were analyzed by the structure-based filter, NOAH, and a new set of possible assignments was automatically generated based on chemical shifts and distance constraints violations. After 60 iterations and final energy minimization, the 10 structures with smallest target functions converged to 1.48 A for backbone atoms. Despite several missing chemical shifts, 426 of 613 NOE peaks were unambiguously assigned; 59 peaks were ambiguously assigned. The remaining 128 peaks picked automatically by FELIX are probably primarily noise peaks, with a few real peaks that were not assigned by NOAH due to the incomplete proton chemical shifts list.

[1]  Werner Braun,et al.  Automated combined assignment of NOESY spectra and three-dimensional protein structure determination , 1997, Journal of biomolecular NMR.

[2]  H. Kalbitzer,et al.  A general Bayesian method for an automated signal class recognition in 2D NMR spectra combined with a multivariate discriminant analysis , 1995, Journal of biomolecular NMR.

[3]  J. Rullmann,et al.  “Ensemble” iterative relaxation matrix approach: A new NMR refinement protocol applied to the solution structure of crambin , 1993, Proteins.

[4]  Kurt Wüthrich,et al.  The program ASNO for computer-supported collection of NOE upper distance constraints as input for protein structure determination , 1993 .

[5]  L. Berliner,et al.  1H NMR characterization of two crambin species , 1987 .

[6]  A. Scaloni,et al.  Amino Acid Sequence, S-S Bridge Arrangement and Distribution in Plant Tissues of Thionins from Viscum album , 1997, Biological chemistry.

[7]  Werner Braun,et al.  Efficient search for all low energy conformations of polypeptides by Monte Carlo methods , 1991 .

[8]  I D Kuntz,et al.  Application of distance geometry to the proton assignment problem , 1993, Biopolymers.

[9]  M Nilges,et al.  Ambiguous distance data in the calculation of NMR structures. , 1997, Folding & design.

[10]  M Nilges,et al.  Solution structure of the spectrin repeat: a left-handed antiparallel triple-helical coiled-coil. , 1997, Journal of molecular biology.

[11]  K Wüthrich,et al.  Efficient computation of three-dimensional protein structures in solution from nuclear magnetic resonance data using the program DIANA and the supporting programs CALIBA, HABAS and GLOMSA. , 1991, Journal of molecular biology.

[12]  Werner Braun,et al.  Automated stereospecific 1H NMR assignments and their impact on the precision of protein structure determinations in solution , 1989 .

[13]  R. Kaptein,et al.  Direct nuclear Overhauser effect refinement of crambin from two‐dimensional nmr data using a slow‐cooling annealing protocol , 1994 .

[14]  N Go,et al.  Calculation of protein conformations by proton-proton distance constraints. A new efficient algorithm. , 1985, Journal of molecular biology.

[15]  G. Wider,et al.  Determination of the NMR solution structure of the cyclophilin A-cyclosporin A complex , 1994, Journal of biomolecular NMR.

[16]  G. Montelione,et al.  Automated analysis of protein NMR assignments using methods from artificial intelligence. , 1997, Journal of molecular biology.

[17]  Correlated disorder of the pure Pro22/Leu25 form of crambin at 150 K refined to 1.05-A resolution. , 1994, The Journal of biological chemistry.

[18]  W. Braun,et al.  Predicting the helix packing of globular proteins by self‐correcting distance geometry , 1995, Protein science : a publication of the Protein Society.

[19]  M Nilges,et al.  Structure calculation from NMR data. , 1996, Current opinion in structural biology.

[20]  K. Wüthrich,et al.  The program FANTOM for energy refinement of polypeptides and proteins using a Newton – Raphson minimizer in torsion angle space , 1990 .

[21]  H Oschkinat,et al.  Automated NOESY interpretation with ambiguous distance restraints: the refined NMR solution structure of the pleckstrin homology domain from beta-spectrin. , 1997, Journal of molecular biology.

[22]  K Wüthrich,et al.  Pseudo-structures for the 20 common amino acids for use in studies of protein conformations by measurements of intramolecular proton-proton distance constraints with nuclear magnetic resonance. , 1983, Journal of molecular biology.

[23]  V. Stojanoff,et al.  Expression, purification and characterization of recombinant crambin. , 1996, Protein engineering.

[24]  M. Teeter,et al.  Crystal Structure of Ser-22/Ile-25 Form Crambin Confirms Solvent, Side Chain Substate Correlations* , 1997, The Journal of Biological Chemistry.

[25]  W. Braun,et al.  Automated assignment of simulated and experimental NOESY spectra of proteins by feedback filtering and self-correcting distance geometry. , 1995, Journal of molecular biology.

[26]  J. Markley,et al.  Evaluation of an algorithm for the automated sequential assignment of protein backbone resonances: A demonstration of the connectivity tracing assignment tools (CONTRAST) software package , 1994, Journal of biomolecular NMR.

[27]  G T Montelione,et al.  Automated sequencing of amino acid spin systems in proteins using multidimensional HCC(CO)NH-TOCSY spectroscopy and constraint propagation methods from artificial intelligence , 1994, Journal of biomolecular NMR.

[28]  Stephen W. Fesik,et al.  A computer-based protocol for semiautomated assignments and 3D structure determination of proteins , 1994, Journal of biomolecular NMR.

[29]  W. Braun,et al.  Pattern recognition and self‐correcting distance geometry calculations applied to myohemerythrin , 1994, FEBS letters.

[30]  J. Simorre,et al.  Computer assignment of the backbone resonances of labelled proteins using two-dimensional correlation experiments , 1995, Journal of biomolecular NMR.

[31]  M Nilges,et al.  Calculation of protein structures with ambiguous distance restraints. Automated assignment of ambiguous NOE crosspeaks and disulphide connectivities. , 1995, Journal of molecular biology.

[32]  G T Montelione,et al.  Automated analysis of nuclear magnetic resonance assignments for proteins. , 1995, Current opinion in structural biology.

[33]  E. Triphosphat,et al.  FEBS Letters , 1987, FEBS Letters.

[34]  S. Roe,et al.  Atomic resolution (0.83 A) crystal structure of the hydrophobic protein crambin at 130 K. , 1993, Journal of molecular biology.

[35]  J. Prestegard,et al.  Application of neural networks to automated assignment of NMR spectra of proteins , 1994, Journal of biomolecular NMR.

[36]  W. Braun,et al.  Distance geometry and related methods for protein structure determination from NMR data , 1987, Quarterly Reviews of Biophysics.