The phase problem in protein crystallography The phase problem in protein crystallography Bragg diffraction of X-rays (photon energy about 8 keV, 1.54 Å) Structure factors and electron density are a Fourier pair The problem is that the raw data are the squares of the modulus of the Fourier transform. That´s the famous phase problem. In protein crystallography, there are several ways to get the phases: • Molecular replacement • Heavy atom methods • Direct methods • Non-standard methods Molecular replacement Mol A: GPGVLIRKPYGARGTWSGGVNDDFFH... Mol B: GPGIGIRRPWGARGSRSGAINDDFGH... Mol A ? Mol B If we have phases from a similar model... Amplitudes: Manx Amplitudes: Cat Phases: Manx Phases: Phases: Manx Cat Amplitudes: Cat ...we can combine them with the experimental amplitudes to get a better model. we can use Patterson maps can be used to find .... the proper orientation (rotation) .... the proper position (translation) for the search model. The density map The Patterson map The Patterson map is the Fourier transform of the intensities. F F I h , k ,l i, j h , k ,l f i exp[ 2i (hxi kyi lz i )] f j exp[ 2i (hx j ky j lz j )] í h , k ,l j f f i j exp[ 2i(h( xi x j ) k ( yi y j ) l ( zi z j ))] It can be calculated without the phases. The matching procedure requires a search in up to six dimensions Luckily, the problem can be factorized into • first, a rotation search • then, a translation search Flow chart of a typical molecular replacement procedure (AMORE) rotfun (clmn) sortfun hklin (*.mtz) hklpck0 (*0.hkl) rotfun (generate) tabfun xyzin1 (*1.pdb) table1 (*1.tab) rotfun (cross) trafun (CB) SOLUTRC SOLUTTF clmn0 (*0.clmn) rotfun (cross) } rotfun (clmn) hklpck1 (*1.hkl) clmn1 (*1.clmn) fitfun (rigid) pdbset SOLUTF solution.pdb Poor phases yield self-fulfilling prophesies Amplitudes: Karlé Amplitudes: Hauptmann Phases: Karlé Phases: Phases: Karlé Amplitudes: Hauptmann If Karlé phases Hauptmann, Hauptmann is Karléd! Hauptmann Heavy atom methods ? Can we do X-ray holography? Can we do holography with crystals? In principle yes, but the limited coherence length requires a local reference scatterer. For a particular h,k,l FH2 FPH1 FP FH1 FPH1 we can collect all knowledge about amplitudes and phases in a diagram (the so-called Harker diagram) • Normally, there´s the problem that different crystals are not strictly isomorphous. • Thus, the best is a reference scatterer that can be switched on and off. Absorption is accompanied by dispersion. This Kramers-Kronig equation is very general: Its (almost) only assumption is the existance of a universal maximum speed (c) for signal propagation. Which elements are useful for MAD data collection? 0.5 Å 25 keV LIII 64- 7 keV K 26-46 1.8 Å The MAD periodic table H He Li Be B N O F Na Mg Al Si P S Cl Ar K Ca Sc Ti V Rb Sr Y C Ne Cr Mn Fe Co Ni Cu Zn Ga Ge As Se Br Kr Zr Nb Mo Tc Ru Rh Pd Ag Cd In Sn Sb Te I Cs Ba La Hf Ta W Xe Re Os Ir Pt Au Hg Tl Pb Bi Po At Rn Fr Ra Ac Rf Ha Lanthanides Ce Pr Nd Pm Sm Eu Gd Tb Dy Ho Er Tm Yb Lu Actinides Th Pa U Np Pu Am Cm Bk Cf Es Fm Md No Lr All phasing can be done on one crystal. F1,2 a b F-1,-2 F1,2 : scattering from b is phase behind F-1,-2 : scattering from b is phase ahead In the presence of absorption, Bijvoet pairs are nonequal. F F 2i hxky lz h ,k ,l x, y, z e 2i hxky lz h , k , l x, y, z e assuming F dxdydz x, y , z x, y , z 2i hx ky lz h, k , l x, y , z e with absorption: dxdydz dxdydz F h ,k ,l x, y , z x, y , z Direct methods ? Atomic resolution data the best approach for small molecules If atoms can be treated as point-scatterers, then if all involved structure factors are strong 100 atoms in the unit cell a small protein The method is blunt for lower resolution or too many atoms. Three-beam phasing ? very low mosaicity data an exciting, but not yet practical way An example from our work (solved by a combination of MAD and MR) Metal ions Can we tell from the fluorescence scans? Compton Zn Cu Fe Ni Co Normally yes, but not in this case! Can we tell from the anomalous signal? order in the periodic table: Fe, Co, Ni, Cu, Zn Here´s the maps! 2fo-fc map, 1.05 Å anomalous map, 1.05 Å anomalous map, 1.54 Å Quantitatively: f“ (1.05 Å) = 1.85 0.05 f“ (1.54 Å) = 2.4 0.2 Thanks to my group, particularly S. Odintsov and I. Sabała Thanks to Gleb Bourenkov, MPI Hamburg c/o DESY