4EMJ

Complex between the reductase and ferredoxin components of toluene dioxygenase


X-RAY DIFFRACTION

Crystallization

Crystalization Experiments
IDMethodpHTemperatureDetails
1VAPOR DIFFUSION, SITTING DROP6.529220% (w/v) polyethylene glycol monomethyl ether 5,000, pH 6.5, VAPOR DIFFUSION, SITTING DROP, temperature 292K
Crystal Properties
Matthews coefficientSolvent content
2.346.5

Crystal Data

Unit Cell
Length ( Å )Angle ( ˚ )
a = 120.29α = 90
b = 120.29β = 90
c = 60.42γ = 120
Symmetry
Space GroupP 65

Diffraction

Diffraction Experiment
ID #Crystal IDScattering TypeData Collection TemperatureDetectorDetector TypeDetailsCollection DateMonochromatorProtocol
11x-ray100CCDRAYONIX MX-2252011-01-11MSINGLE WAVELENGTH
Radiation Source
ID #SourceTypeWavelength ListSynchrotron SiteBeamline
1SYNCHROTRONBESSY BEAMLINE 14.20.91841BESSY14.2

Data Collection

Overall
ID #Resolution (High)Resolution (Low)Percent Possible (Observed)Net I Over Average Sigma (I)RedundancyNumber Reflections (All)Number Reflections (Observed)Observed Criterion Sigma (F)Observed Criterion Sigma (I)B (Isotropic) From Wilson Plot
12.43399.91966319644-3

Refinement

Statistics
Diffraction IDStructure Solution MethodResolution (High)Resolution (Low)Cut-off Sigma (F)Number Reflections (All)Number Reflections (Observed)Number Reflections (R-Free)Percent Reflections (Observed)R-Factor (Observed)R-WorkR-FreeMean Isotropic B
X-RAY DIFFRACTIONMOLECULAR REPLACEMENT2.430.071.4196441963798299.90.1720.1690.234
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]
-0.1122-0.11220.2244
RMS Deviations
KeyRefinement Restraint Deviation
f_dihedral_angle_d15.561
f_angle_d1.66
f_chiral_restr0.137
f_bond_d0.015
f_plane_restr0.007
Non-Hydrogen Atoms Used in Refinement
Non-Hydrogen AtomsNumber
Protein Atoms3808
Nucleic Acid Atoms
Solvent Atoms243
Heterogen Atoms57

Software

Software
Software NamePurpose
MAR345data collection
PHASERphasing
PHENIXrefinement
XDSdata reduction
XSCALEdata scaling