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Structure of human Thr160-phospho CDK2/cyclin A complexed with the inhibitor NU6094
Crystallization Crystalization Experiments ID Method pH Temperature Details 1 7 pH 7.00
Crystal Properties Matthews coefficient Solvent content 2.88 57.29
Crystal Data Unit Cell Length ( Å ) Angle ( ˚ ) a = 73.99 α = 90 b = 134.73 β = 90 c = 148.12 γ = 90
Symmetry Space Group P 21 21 21
Diffraction Diffraction Experiment ID # Crystal ID Scattering Type Data Collection Temperature Detector Detector Type Details Collection Date Monochromator Protocol 1 1 x-ray 100 M SINGLE WAVELENGTH
Radiation Source ID # Source Type Wavelength List Synchrotron Site Beamline 1 SYNCHROTRON ESRF BEAMLINE ID14-4 ESRF ID14-4
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 2.5 20 94.1 0.079 8.2 66509
Highest Resolution Shell ID # Resolution (High) Resolution (Low) Percent Possible (All) Percent Possible (Observed) R Merge I (Observed) Mean I Over Sigma (Observed) Redundancy Number Unique Reflections (All) 1 2.5 2.59 80.8 0.378 1.9
Refinement Statistics Diffraction ID Structure Solution Method Cross Validation method Resolution (High) Resolution (Low) Number Reflections (Observed) Number Reflections (R-Free) Percent Reflections (Observed) R-Work (Depositor) R-Work (DCC) R-Free (Depositor) R-Free (DCC) R-Free Selection Details Mean Isotropic B X-RAY DIFFRACTION MOLECULAR REPLACEMENT THROUGHOUT 2.5 20 66509 94.1 0.238 0.2296 0.332 0.2964 RANDOM
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]
Non-Hydrogen Atoms Used in Refinement Non-Hydrogen Atoms Number Protein Atoms 8942 Nucleic Acid Atoms Solvent Atoms 335 Heterogen Atoms 48
Software Software Software Name Purpose REFMAC refinement MOSFLM data reduction SCALA data scaling