1. Diffraction intensity 2. Patterson map Lecture
Calculation of the electron density (x,y,z) We already know: This is equivalent to: Because: The reverse is also true: or This two Fourier syntheses form the mathematic foundation for all crystallographic calculation F is a Fourier synthesis of is a Fourier synthesis of F
Physical meaning of Fourier synthesis Scattering --- First Fourier Transform Focusing Second Fourier Transform
An simple example of Fourier transform + + = f=2 f=3 f=5 By superimposing three cosine waves, we have If we have more higher frequency terms, we have
Symmetry in diffraction pattern A diffraction pattern possesses at least the same or higher symmetry than the crystal –Remember that reciprocal lattice rotates with the crystal itself. All diffraction patterns have a center of symmetry I(h,k,l) = I(-h, -k, -l) These two reflections are called a Friedel pair. From diffraction intensity, we should be able to determine space group symmetry in most cases (symmetry of diffraction pattern, systematic absences)
Symmetry in diffraction pattern: a center of symmetry Therefore,
Symmetry in diffraction pattern: a center of symmetry - electron density is a real quantity The implication is: Which means is real, as expected for a physical quantity. Because
Space groups with screw axes, glide planes, F, C, I centered lattices will have systematic absences.
Effect of the size of the unit cell on the diffraction intensity V is the volume of unit cell V cr is the size of crystal is wavelength
Experimental data look like this … hklF h,k,l are miller indices, F is structure factor amplitude No phase information.
Intensity statistics: R merge Only a small number of reflections are collected on each photograph To construct the reciprocal space, we need to merge reflections from different frames. Measurement error is quantitatively described by R merge Where hkl are miller indices of a particular reflection, and i is the ith measurement of that reflection R merge varies from a few percent in low resolution ranges to over thirty percent in high resolution ranges R = I (hkl) - / I (hkl)
Intensity statistics: what are the important quantities
Intensity statistics: Wilson plot After data merging, the first thing to do is to calculate the Wilson plot Wilson provide an estimation of temperature factor Because we have If r i ≠ r j, 2 i(r i -r j ) S will vary from 0 to 2 , resulting in 0 value for I(abs, S) Therefore, and we know then we have With some adjustments, then we have
Intensity statistics: Wilson plot After data merging, the first thing to do is to calculate the Wilson plot Wilson provide an estimation of temperature factor Slope => B factor Y intercept => absolute scale C However, for 2 i(r i -r j ) S to vary from 0 to 2 S has to be at least 1/3Å -1
What is phase problem? Electron density can simply be calculated as: However, we can only measure I(hkl), and we can only get |F(hkl)|=sqrt(I). The phase information (hkl) is missing. Structure determination is all about phase determination.
Methods for phase determination Multiple isomorphous replacement (MIR) Use heavy atom to perturb diffraction intensities At least one native crystal and two crystals soaked in two heavy atom solutions must be available. Need no information about the unknown structure. Multiwavelength anomalous dispersion (MAD) As X-ray wavelength approaching absorption edge, anomalous scattering occurs – Friedel pairs are no longer equal in intensities. Only one crystal is needed but multiple data sets must be collected at three different wavelengths. Se-Met protein is usually needed. Excellent electron density map. Molecular replacement (MR) Only one native crystal is needed. One homologous structure must be available. Quick and simple. Hg Pt U Se (S Se)
The first crystal structure of a protein molecule 1962: Max Ferdinand Perutz and Sir John Cowdery Kendrew win the Nobel Prize in Chemistry for their studies on the structures of globlular proteins.Nobel Prize in Chemistry The structure of myoglobin was solved by MIR. (Max Perutz, )
Patterson function In 1934, Patterson published a paper suggesting that the Patterson function: giving rise to a map showing interatomic vectors (not individual atomic positions, though) The three variables u, v, w vary from 0 to1 within the crystal unit cell. No phase information is needed for Patterson synthesis
Pattern map shows intermolecular vectors There are a total of N 2 vectors, of which N are located at the origin, and N 2 -N are distributed throughout the volume of the unit cell. If atom i contains Z i electrons and atom j contains Z j electrons, the corresponding vector r ij will have a weight proportional to Z i Z j. Patterson map has a center of symmetry. The space group of patterson map may be derived from crystal space group by adding a center of symmetry and losing translational elements associated with screw axes or glide planes.
Pattern map shows intermolecular vectors By definition: Because: we have:
Pattern map shows intermolecular vectors - another example
Patterson maps often have serious overlapping of peaks 1.Peaks are generally broad 2.N 2 –N peaks in total 1-D 2-D
Simple structures can be solved from Patterson maps Space group Pm: (x,y,z) and (x,-y,z) There will be a set of vectors between symmetry-related atoms at: (0,2y, 0) in Patterson map.
Simple structures can be solved from Patterson maps Space group symmetries usually give rise to concentrated vector points in the forms of Harker lines or Harker planes Example: space group P2 1 –General positions are: (x,y,z), (-x, y+1/2, -z) –Interatomic vector for symmetry-related atoms is: (2x, ½, 2z) –There will be a lot of vector on v=1/2 section in Patterson map –v=1/2 is called Harker section –From Harker peaks, we can obtain x and z coordinates for every atom
Patterson map in protein crystallography Locate heavy atom positions for multiple isomorphous replacement method or multi- wavelength anomalous dispersion method Rotation and translation function searches for molecular replacement method