X-ray Crystallography Kalyan Das. Electromagnetic Spectrum 10 -1 to 10 nM 400 to 700 nM 10 -4 to 10 -1 nM 10 to 400 nM 700 to 10 4 nM X-ray was discovered.

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Presentation transcript:

X-ray Crystallography Kalyan Das

Electromagnetic Spectrum to 10 nM 400 to 700 nM to nM 10 to 400 nM 700 to 10 4 nM X-ray was discovered by Roentgen In X-rays are generated by bombarding electrons on an metallic anode Emitted X-ray has a characteristic wavelength depending upon which metal is present. e.g. Wavelength of X-rays from Cu- anode = Å E= h = h(c/ )  Å)= /E(keV)

X-ray Sources for Crystallographic Studies Home Source – Rotating Anode K-orbital L-orbital M-orbital K-absorption K1K1 K2K2 KK Cu( K  1 )= Å; Cu( K  1 )= Å Cu( K  )= Å Cu( K  )= Å Wave-lengths

Synchrotron X-rays Electron/positron injection Storage Ring X-ray X-rays Magnetic Fields Electron/positron beam

Crystallization Slow aggregation process Protein Sample for Crystallization: Pure and homogenous (identified by SDS-PAGE, Mass Spec. etc.) Properly folded Stable for at least few days in its crystallization condition (dynamic light scattering)

Conditions Effect Crystallization -pH (buffer) -Protein Concentration - Salt (Sodium Chloride, Ammonium Chloride etc.) - Precipitant - Detergent (e.g. n-Octyl-  -D-glucoside) -Metal ions and/or small molecules - Rate of diffusion - Temperature -Size and shape of the drops - Pressure (e.g. micro-gravity)

Precipitant Drop containing protein sample for crystallization Hanging-drop Vapor Diffusion Cover Slip Well

Screening for Crystallization pH gradient Precipitant Concentration % 15 % 20 % 30 % PrecipitateCrystalline precipitate Fiber like Micro-crystals Small crystals Ideal crystal

A crystal has long range ordering of building blocks that are arranged in an conceptual 3-D lattice. A building block of minimum volume defines unit cell The repeating units (protein molecule) are in symmetry in an unit cell The repeating unit is called asymmetric unit – A crystal is a repeat of an asymmetric unit Periodicity and Symmetry in a Crystal

Arrangement of asymmetric unit in a lattice defines the crystal symmetry. The allowed symmetries are 2-, 3, 4, 6-fold rotational, mirror(m), and inversion (i) symmetry (+/-) translation. Rotation + translation = screw Rotation + mirror = glide  230 space groups, 32 point groups, 14 Bravais lattice, and 7 crystal systems

Crystal Cryo-loop Detector Goniometer

Diffraction

Diffraction from a frozen arginine deiminase crystal at CHESS F2 -beam line zoom 1.6 Å resolution

Bragg Diffraction d   d sin  For constructive interference 2d sin  d- Spacing between two atoms  -  Angle of incidence of X-ray - Wavelength of X-ray

Reciprocal Lattice Vector h = ha * + kb * + lc * a*,b*, c* - reciprocal basic vectors h, k, l – Miller Indices Real SpaceReciprocal Space h,k,l (planes) h,k,l (points)

Proteins are asymmetric (L-amino acids)  Protein crystals do not have m or i symmetries Symmetric consideration: Diffraction from a crystal = diffraction from its asymmetric unit Crystallography solution is to find arrangement of atoms in asymmetric unit Symmetry and Diffraction

Structure factor at a point (h,k,l) F(h,k,l)=  f n  exp [2  i(hx+ky+lz)] f – atomic scattering factor N – number of all atoms F is a complex number F(h,k,l)= | F(h,k,l) | exp(-i  ) N n=1 Phase Problem in Crystallography amplitude phase Measured intensity I(h,k,l)= | F(h,k,l) | 2 Reciprocal Space h,k,l background I(h,k,l)

Solving Phase Problem

Molecular Replacement (MR) Using an available homologous structure as template Advantages: Relatively easy and fast to get solution. Applied in determining a series of structures from a known homologue – systematic functional, mutation, drug-binding studies Limitations: No template structure no solution, Solution phases are biased with the information from its template structure

Isomorhous Replacement (MIR) Heavy atom derivatives are prepared by soaking or co-crystallizing Diffraction data for heavy atom derivatives are collected along with the native data F PH = F P + F H Patterson function P(u)= 1/V  |F(h)|2 cos(2  u.h) =  (r) x  (r’) dv  strong peaks for in Patterson map when r and r’ are two heavy atom positions h r

Multiple Anomalous Dispersion (MAD) At the absorption edge of an atom, its scattering factor f ano = f + f’ + if” Atomf f’f” Hg Se  F(h,k,l) = F(-h,-k,-l)  anomalous differences  positions of anomalous scatterers  Protein Phasing f ano if” ff’ real imaginary

Se-Met MAD Most common method of ab initio macromolecule structure determination A protein sample is grown in Se-Met instead of Met. Minimum 1 well-ordered Se-position/75 amino acids Anomolous data are collected from 1 crystal at Se K- edge ( keV). MAD data are collected at Edge, Inflection, and remote wavelengths

Electron Density Structure Factor Electron Density F(h,k,l)=  f n  exp [2  i(hx)] Friedel's lawF(h) = F*(-h) 

Electron Density Maps 4 Å resolution electron density map 3.5 Å resolution electron density map Protein Solvent

1.6 Å electron density map

Model Building and Refinement

Least-Squares Refinement List-squares refinement of atoms (x,y,z, and B) against observed |F(h,k,l)| Target function that is minimized Q=  w(h,k,l)(|F obs (h,k,l)| - |F cal (h,k,l)|) 2 d Q/ d u j =0; u j - all atomic parameters

Geometric Restrains in Refinement Each atom has 4 (x,y,z,B) parameters and each parameters requires minimum 3 observations for a free-atom least- squares refinement.  A protein of N atoms requires 12N observations. For proteins diffracting < 2.0 Å resolution observation to parameter ratio is considerable less. Protein Restrains (bond lengths, bond angles, planarity of an aromatic ring etc.) are used as restrains to reduce the number of parameters

R-factor R cryst =  hkl |F obs (hkl) - kF cal (hkl)| /  hkl |F obs (hkl)| Free-R R-factor calculated for a test-set of reflections that is never included in refinement. R-free is always higher than R. Difference between R and R-free is smaller for higher resolution and well-refined structures

Radius of convergence in a least-squares refinement is, in general, low. Often manual corrections (model building) are needed. Model Building and Refinement are carried out in iterative cycles till R-factor converges to an appropriate low value with appreciable geometry of the atomic model.

1.0Å 2.5Å 3.5Å 4Å