X-RAY DIFFRACTION Experimental Data & Validation


X-ray Experimental Help

Crystallization

Crystalization Experiments
Method Vapor Diffusion Sitting Drop
pH 7
Details pH 7.0, VAPOR DIFFUSION, SITTING DROP

Crystal Data

Unit Cell
Length (Å) Angle (°)
a = 48.64 α = 96.94
b = 49.37 β = 108.66
c = 63.89 γ = 107.53
Symmetry
Space Group P 1

Diffraction

Diffraction Experiment
ID # Data Collection Temperature
1 100
Diffraction Detector
Detector Diffraction Type Details Collection Date
IMAGE PLATE MACSCIENCE MIRRORS 1996-08-15
Diffraction Radiation
Monochromator Protocol
NI FILTER SINGLE WAVELENGTH
Diffraction Detector Source
Source Type Wavelength List Synchrotron Site Beamline
-- SIEMENS -- -- --

Data Collection

Overall
Resolution (High) Resolution (Low) Percent Possible (Observed) R Merge I (Observed) R Sym 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
1.9 20 91.9 0.053 -- -- 1.87 -- 37718 -- -- 31.5
High Resolution Shell
Resolution (High) Resolution (Low) Percent Possible (All) R Merge I (Observed) R-Sym I (Observed) Mean I Over Sigma (Observed) Redundancy Number Unique Reflections (All)
1.9 2.05 82.7 0.284 -- 2.2 1.68 --

Refinement

Statistics
Structure Solution Method Refinement High Resolution Refinement Low Resolution Cut-off Sigma (I) Cut-off Sigma (F) Number of Reflections (All) Number of Reflections (Observed) Number of Reflections (R-Free) Percent Reflections (Observed) R-Factor (All) R-Factor (Observed) R-Work R-Free R-Free Selection Details
MOLECULAR REPLACEMENT 1.9 20.0 -- 0.0 37718 37718 3772 91.9 -- -- 0.206 0.27 RANDOM
RMS Deviations
Key Refinement Restraint Deviation
p_bond_d 0.01
p_angle_d 0.02
Number of Non-Hydrogen Atoms Used in Refinement
Non-Hydrogen Atoms Numbers
Protein Atoms 4108
Nucleic Acid Atoms 446
Heterogen Atoms 2
Solvent Atoms 350

Software

Software
Software Name Purpose
AMoRE phasing
REFMAC refinement
DENZO data reduction
SCALEPACK data scaling