8AE1

Structure of trimeric SlpA outer membrane protein


ELECTRON MICROSCOPY

Refinement

RMS Deviations
KeyRefinement Restraint Deviation
f_dihedral_angle_d3.918
f_angle_d0.453
f_chiral_restr0.043
f_plane_restr0.003
f_bond_d0.002
Sample
Structure of trimeric SlpA protein
Specimen Preparation
Sample Aggregation StatePARTICLE
Vitrification InstrumentFEI VITROBOT MARK IV
Cryogen NameETHANE
Sample Vitrification DetailsVitrobot options: Blot time 4.5 seconds, Blot force -10,1, Wait time 10 seconds, Drain time 0.5 seconds
3D Reconstruction
Reconstruction MethodSINGLE PARTICLE
Number of Particles122412
Reported Resolution (Å)3.25
Resolution MethodFSC 0.143 CUT-OFF
Other Details
Refinement Type
Symmetry TypePOINT
Point SymmetryC3
Map-Model Fitting and Refinement
Id1
Refinement SpaceREAL
Refinement ProtocolAB INITIO MODEL
Refinement TargetBest Fit
Overall B Value51.67
Fitting Procedure
Details
Data Acquisition
Detector TypeGATAN K3 BIOQUANTUM (6k x 4k)
Electron Dose (electrons/Å**2)47.909
Imaging Experiment1
Date of Experiment
Temperature (Kelvin)
Microscope ModelTFS KRIOS
Minimum Defocus (nm)1000
Maximum Defocus (nm)4000
Minimum Tilt Angle (degrees)
Maximum Tilt Angle (degrees)
Nominal CS2.7
Imaging ModeBRIGHT FIELD
Specimen Holder ModelFEI TITAN KRIOS AUTOGRID HOLDER
Nominal Magnification81000
Calibrated Magnification81000
SourceFIELD EMISSION GUN
Acceleration Voltage (kV)300
Imaging DetailsEPU software with faster acquisition mode AFIS (Aberration Free Image Shift).
EM Software
TaskSoftware PackageVersion
PARTICLE SELECTIONTopaz0.2.5
IMAGE ACQUISITIONEPU
CTF CORRECTIONCTFFIND4.1.13
MODEL FITTINGCoot0.9.2-pre
MODEL REFINEMENTPHENIX1.19-4092
INITIAL EULER ASSIGNMENTRELION3.1
FINAL EULER ASSIGNMENTRELION3.1
CLASSIFICATIONRELION3.1
RECONSTRUCTIONRELION3.1
Image Processing
CTF Correction TypeCTF Correction DetailsNumber of Particles SelectedParticle Selection Details
PHASE FLIPPING AND AMPLITUDE CORRECTIONRELION refinement with in-built CTF correction. The function is similar to a Wiener filter, so amplitude correction included.223878Initially, micrographs were denoised using TOPAZ (73) using the UNET neural network and 2893 particles were manually picked. Particle coordinates were used to train TOPAZ picker (74) in 5 times downsampled micrographs with the neural network architecture ResNet8 and picked particles were extracted in 4 times downsampled 128 x 128 boxes and classified using reference-free 2D classification inside RELION3.1.