{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Time-Resolved Difference Map \n", "\n", "Time-resolved crystallography experiments make use of X-ray diffraction to monitor structural changes in a crystalline sample. Such experiments typically use a pump-probe setup where atomic motions are induced by a \"pump\" (often some sort of a laser pulse) and then are monitored using a probe X-ray pulse. Due to the need for an X-ray pulse with a short time duration, it is most common to conduct time-resolved diffraction experiments using an XFEL or using a Laue (pink beam) beamline at a synchrotron in order to achieve the desired X-ray intensity. \n", "\n", "A common methodology for investigating structural changes in time-resolved experiments is using difference maps between structure factor amplitudes collected with and without a perturbation. These $(|F_{On}| - |F_{Off}|)$ maps may be noisy due to systematic errors or scaling artifacts, and have historically been weighted based on the magnitude of the difference signal and/or the error estimates associated with the measured values. \n", "\n", "Photoactive yellow protein (PYP) is a model system in time-resolved crystallography due to the trans-cis isomerization of its chromophore which occurs upon absorption of blue light. Here, we will use `reciprocalspaceship` to produce a weighted difference map of PYP to investigate the structural changes that occur 2ms after illumination with blue light. This dataset was collected at the [BioCARS Laue beamline APS-14-ID](https://biocars.uchicago.edu/) from a PYP crystal with $P 6_3$ symmetry, and were processed using Precognition (Renz Research, Inc.), a software suite for Laue data processing. This data was collected and provided by Marius Schmidt and Vukica Šrajer." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "sns.set_context(\"notebook\", font_scale=1.4)\n", "import numpy as np" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import reciprocalspaceship as rs" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0.10.3\n" ] } ], "source": [ "print(rs.__version__)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "---\n", "### Load `On` and `Off` PYP DataSets \n", "\n", "The `.hkl` files used in this example came directly from Precognition and contain scaled, merged structure amplitudes (**F**) and associated errors (**SigF**). Precognition uses a different convention for the reciprocal space asymmetric unit (ASU) than CCP4/Phenix, so we will map all reflections to the ASU. " ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "def load(hkl, cell=(66.9, 66.9, 40.8, 90.0, 90.0, 120.0), sg=173):\n", " \"\"\"\n", " Load HKL file from Precognition and map reflections to the reciprocal space ASU.\n", " \"\"\"\n", " dataset = rs.read_precognition(hkl, cell=cell, spacegroup=sg)\n", " dataset.hkl_to_asu(inplace=True)\n", " dataset.drop(columns=\"M/ISYM\", inplace=True)\n", " return dataset" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "off = load(\"data/PYP_varEll_2sig_off_1.6A.hkl\")\n", "on = load(\"data/PYP_varEll_2sig_2ms_1.6A.hkl\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Since difference maps can only be made with Fourier magnitudes that were measured in both datasets, we will subset the datasets to their common Miller indices." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "pyp = off.merge(on, left_index=True, right_index=True, suffixes=(\"_off\", \"_on\"))" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " F_off SigF_off F_on SigF_on\n", "H K L \n", "0 1 2 56.646 0.036 75.991 0.032\n", " 3 89.061 0.03 89.667 0.031\n", " 4 95.419 0.048 93.886 0.047\n", " 5 160.466 0.038 162.553 0.035\n", " 6 77.869 0.075 79.139 0.083" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pyp.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "---\n", "### Compute Difference Map Coefficients and Errors \n", "\n", "We will compute $(|F_{On}| - |F_{Off}|)$ for use as the coefficients of the difference map, and we will propagate the uncertainties in quadrature. These propagated uncertainties will be used when computing weights for each Miller index." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "pyp[\"DF\"] = (pyp[\"F_on\"] - pyp[\"F_off\"]).astype(\"SFAmplitude\")\n", "pyp[\"SigDF\"] = np.sqrt(pyp[\"SigF_on\"]**2 + pyp[\"SigF_off\"]**2).astype(\"Stddev\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "---\n", "### Compute Difference Map Weights \n", "\n", "There are several weighting schemes that have been used to produce time-resolved difference maps. Many of them take the form below, involving a term based on the uncertainty in the difference structure factor amplitude ($\\sigma_{\\Delta F}$), and optionally, a scale term based on the the magnitude of the observed $\\Delta F$. With $\\alpha=0$, these weights take the form employed in [Ursby and Bourgeois, **Acta Cryst** (1997)](https://scripts.iucr.org/cgi-bin/paper?he0183). On the other hand, [Šrajer *et al*, **Biochemistry** (2001)](https://pubs.acs.org/doi/10.1021/bi010715u) employed weights with $\\alpha=1$ in order to decrease the impact of abnormally large values of $\\Delta F$ that may have erroneously small uncertainties. Finally, other weighting schemes have employed intermediate values of $\\alpha$ ([Hekstra *et al*, **Nature** (2016)](https://www.nature.com/articles/nature20571)). \n", "\n", "\\begin{equation}\n", "w = \\left(1 + \\frac{\\sigma_{\\Delta F}^2}{\\overline{\\sigma_{\\Delta F}^2}} + \\alpha\\frac{|\\Delta F|^2}{\\overline{ |\\Delta F|^2 }} \\right)^{-1}\n", "\\end{equation} \n", "\n", "For illustration purposes, we will compute weights with $\\alpha=0.05$." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "def compute_weights(df, sigdf, alpha=0):\n", " \"\"\"\n", " Compute weights for each structure factor based on deltaF and its uncertainty\n", " \"\"\"\n", " w = (1 + (sigdf**2 / (sigdf**2).mean()) + alpha*(df**2 / (df**2).mean()))\n", " return w**-1" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "pyp[\"W\"] = compute_weights(pyp[\"DF\"], pyp[\"SigDF\"], alpha=0.05)\n", "pyp[\"W\"] = pyp[\"W\"].astype(\"W\")\n", "pyp[\"WDF\"] = (pyp[\"W\"]*pyp[\"DF\"]).astype(\"F\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's visualize the weights relative to the magnitude of $\\Delta F$ and the signal-to-noise ratio in order to understand how they will affect different structure factors." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(10, 7))\n", "pts = ax.scatter(pyp.DF, pyp.DF.abs()/pyp.SigDF, c=pyp.W)\n", "ax.set_xlabel(r\"$\\Delta F$\")\n", "ax.set_ylabel(r\"$\\frac{\\left| \\Delta F \\right|}{\\sigma_{\\Delta F}}$\")\n", "\n", "# Inset\n", "axins = ax.inset_axes([0.6, 0.6, 0.37, 0.37])\n", "axins.scatter(pyp.DF, pyp.DF.abs()/pyp.SigDF, c=pyp.W)\n", "x1, x2, y1, y2 = -25, 25, 0, 20\n", "axins.set_xlim(x1, x2)\n", "axins.set_ylim(y1, y2)\n", "ax.indicate_inset_zoom(axins)\n", "\n", "fig.colorbar(pts, label=\"Weight\")\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As seen in the above plot, difference Fourier coefficients with low signal-to-noise ratios (large $\\sigma_{\\Delta F}$ relative to $|\\Delta F|$) are assigned lower weight. Difference Fourier coefficients with large amplitude are also assigned lower weight." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "---\n", "### Visualize Weighted Difference Map \n", "\n", "We have our difference Fourier amplitudes and weights, so we just need phases in order to make a difference map. We will use phases from a refined \"dark\" state model of PYP, PDB: 2PHY. Phases were computed using [phenix.fmodel](https://www.phenix-online.org/documentation/reference/fmodel.html). " ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "ref = rs.read_mtz(\"data/2PHY.pdb.mtz\")\n", "pyp[\"PHIFMODEL\"] = ref.loc[pyp.index, \"PHIFMODEL\"]\n", "pyp.write_mtz(\"data/PYP_diffmap.mtz\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's now visualize the effects of weighting the $(F_{On} - F_{Off})$ difference map. The map is overlaid with the refined model of the dark state (red; PDB: 2PHY) and the pB intermediate state of the chromophore (green; PDB: 3UME)." ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "scrolled": false }, "outputs": [ { "data": { "text/html": [ "
\n", " \n", "
Time-resolved difference map of PYP photocycle with and without weights. The dark state structure is shown in red, and the pB intermediate state of the chromophore is shown in green.\n", "
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%%html\n", "
\n", " \n", "
Time-resolved difference map of PYP photocycle with and without weights. The dark state structure is shown in red, and the pB intermediate state of the chromophore is shown in green.\n", "
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