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Structure of MntC protein at 2.7A
Crystallization Crystalization Experiments ID Method pH Temperature Details 1 VAPOR DIFFUSION, HANGING DROP 6.5 290 PEG 4000, sodium cacodylate, zinc chloride, pH 6.5, VAPOR DIFFUSION, HANGING DROP, temperature 290K
Crystal Properties Matthews coefficient Solvent content 2.08 40.82
Crystal Data Unit Cell Length ( Å ) Angle ( ˚ ) a = 127.52 α = 90 b = 127.52 β = 90 c = 89.73 γ = 120
Symmetry Space Group P 31 2 1
Diffraction Diffraction Experiment ID # Crystal ID Scattering Type Data Collection Temperature Detector Detector Type Details Collection Date Monochromator Protocol 1 1 x-ray M SINGLE WAVELENGTH
Radiation Source ID # Source Type Wavelength List Synchrotron Site Beamline 1 SYNCHROTRON ESRF BEAMLINE ID23-1 0.934 ESRF ID23-1
Data Collection Overall ID # Resolution (High) Resolution (Low) Percent Possible (Observed) Net I Over Average Sigma (I) Redundancy Number Reflections (All) Number Reflections (Observed) Observed Criterion Sigma (F) Observed Criterion Sigma (I) B (Isotropic) From Wilson Plot 1 2.7 36.812 21591
Refinement Statistics Diffraction ID Structure Solution Method Resolution (High) Resolution (Low) Cut-off Sigma (F) Number Reflections (Observed) Number Reflections (R-Free) Percent Reflections (Observed) R-Factor (Observed) R-Work (Depositor) R-Work (DCC) R-Free (Depositor) R-Free (DCC) Mean Isotropic B X-RAY DIFFRACTION MOLECULAR REPLACEMENT 2.7 36.8 1.34 21591 1089 91.99 0.2333 0.2307 0.2389 0.2845 0.2872
Temperature Factor Modeling Anisotropic B[1][1] Anisotropic B[1][2] Anisotropic B[1][3] Anisotropic B[2][2] Anisotropic B[2][3] Anisotropic B[3][3] 1.2829 1.2829 -2.5657
RMS Deviations Key Refinement Restraint Deviation f_dihedral_angle_d 19.287 f_angle_d 1.733 f_chiral_restr 0.095 f_bond_d 0.026 f_plane_restr 0.008
Non-Hydrogen Atoms Used in Refinement Non-Hydrogen Atoms Number Protein Atoms 6383 Nucleic Acid Atoms Solvent Atoms 12 Heterogen Atoms 29
Software Software Software Name Purpose DNA data collection PHASER phasing PHENIX refinement MOSFLM data reduction SCALA data scaling