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Crystal Structure of sTALL-1 of TNF family ligand
Crystallization Crystalization Experiments ID Method pH Temperature Details 1 VAPOR DIFFUSION, HANGING DROP 9 277 35% dioxane, pH 9.0, VAPOR DIFFUSION, HANGING DROP at 277K
Crystal Properties Matthews coefficient Solvent content 5.18 76.26
Crystal Data Unit Cell Length ( Å ) Angle ( ˚ ) a = 234.242 α = 90 b = 234.242 β = 90 c = 212.55 γ = 120
Symmetry Space Group P 63 2 2
Diffraction Diffraction Experiment ID # Crystal ID Scattering Type Data Collection Temperature Detector Detector Type Details Collection Date Monochromator Protocol 1 1 x-ray 93 IMAGE PLATE RIGAKU RAXIS IV M SINGLE WAVELENGTH
Radiation Source ID # Source Type Wavelength List Synchrotron Site Beamline 1 ROTATING ANODE RIGAKU RU200
Data Collection Overall ID # Resolution (High) Resolution (Low) Percent Possible (Observed) R Merge I (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 3 20 95.7 0.117 12 5 69018 66001
Refinement Statistics Diffraction ID Structure Solution Method Cross Validation 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) R-Free Selection Details Mean Isotropic B X-RAY DIFFRACTION THROUGHOUT 3 19.99 2 54509 2771 79.3 0.236 0.236 0.2505 0.252 0.2645 RANDOM 30.6
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] 1.5 5.87 1.5 -3
RMS Deviations Key Refinement Restraint Deviation c_dihedral_angle_d 26.8 c_angle_deg 1.6 c_improper_angle_d 0.84 c_bond_d 0.009
Non-Hydrogen Atoms Used in Refinement Non-Hydrogen Atoms Number Protein Atoms 11430 Nucleic Acid Atoms Solvent Atoms Heterogen Atoms
Software Software Software Name Purpose SOLVE phasing CNS refinement SCALEPACK data scaling