{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# 04_check_the_fitting" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Determination of memory status is not supported on this \n", " platform, measuring for memoryleaks will never fail\n" ] } ], "source": [ "from pigeon_feather.data import *\n", "from pigeon_feather.plot import *\n", "from pigeon_feather.hxio import *\n", "from pigeon_feather.spectra import *\n", "\n", "\n", "import numpy as np\n", "import pandas as pd\n", "\n", "import datetime\n", "import os\n", "import pickle\n", "import datetime" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of peptides with experimental max_d: 358\n", "Number of peptides with no experimental max_d: 12\n" ] } ], "source": [ "# load the pickle file we saved in the previous notebook\n", "\n", "\n", "today = datetime.date.today().strftime(\"%Y%m%d\")\n", "today = \"20240722\"\n", "\n", "with open(f\"./data/hdxms_data_raw_{today}.pkl\", \"rb\") as f:\n", " hdxms_data_list = pickle.load(f)\n", "\n", "\n", "# back exchange correction for peptides with experimental full deuteration data based its closest match in the database\n", "tools.backexchange_correction(hdxms_data_list)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# make folders for results\n", "\n", "today_date = datetime.date.today().strftime(\"%Y%m%d\")\n", "# today_date = '20240722'\n", "results_path = f\"ecDHFR_results_{today_date}\"\n", "\n", "if not os.path.exists(results_path):\n", " os.makedirs(results_path)\n", "\n", "\n", "out_path = \"./data/PF_input_20240722\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Create an `Analysis` object and load the results. **Note:** The temperature and pH are crucial for calculating the intrinsic exchange rates, so make sure to input the correct values. The chunk size and chunk number can be altered by the user. In this tutorial, they were automatically determined by a helper function.\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "from pigeon_feather.analysis import Analysis, get_index_offset\n", "from pigeon_feather.tools import optimal_chunks\n", "import matplotlib.pyplot as plt\n", "\n", "RUN_NUM = 3\n", "\n", "apo_states = [\n", " state\n", " for data in hdxms_data_list\n", " for state in data.states\n", " if state.state_name == \"APO\"\n", "]\n", "\n", "tri_states = [\n", " state\n", " for data in hdxms_data_list\n", " for state in data.states\n", " if state.state_name == \"TRI\"\n", "]\n", "\n", "ana_apo_1 = Analysis(apo_states, temperature=293.0, pH=7.0)\n", "\n", "chunk_num, chunk_size = optimal_chunks(len(ana_apo_1.protein_sequence))\n", "ana_apo_1.load_bayesian_hdx_oupt_chunks(\n", " chunk_size=chunk_size,\n", " chunk_num=chunk_num,\n", " state_name=\"APO\",\n", " run_num=RUN_NUM,\n", " N=200,\n", " bayesian_hdx_data_folder=f\"{out_path}/bayesian_hdx_output_chunks\",\n", ")\n", "\n", "\n", "ana_tri_1 = Analysis(tri_states, temperature=293.0, pH=7.0)\n", "\n", "ana_tri_1.load_bayesian_hdx_oupt_chunks(\n", " chunk_size=chunk_size,\n", " chunk_num=chunk_num,\n", " state_name=\"TRI\",\n", " run_num=RUN_NUM,\n", " N=200,\n", " bayesian_hdx_data_folder=f\"{out_path}/bayesian_hdx_output_chunks\",\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "two fitting check functions are available: 1. centroid level fitting check 2. isotopic mass envelope fitting check. \n" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "from pigeon_feather.analysis import (\n", " check_fitted_isotope_envelope,\n", " check_fitted_peptide_uptake,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## envelope check" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "check_state_name = \"APO\"\n", "check_ana_obj = ana_apo_1\n", "\n", "\n", "all_peps = [\n", " pep\n", " for data in hdxms_data_list\n", " for state in data.states\n", " for pep in state.peptides\n", " if state.state_name == check_state_name and pep.note is None\n", "]\n", "all_tps = [\n", " tp\n", " for pep in all_peps\n", " for tp in pep.timepoints\n", " if pep.get_timepoint(0) is not None and tp.deut_time != np.inf and tp.deut_time != 0\n", "]\n" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.18336607065124264" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "envelope_errors = [(check_fitted_isotope_envelope(ana_apo_1, tp), tp) for tp in all_tps]\n", "envelope_errors = sorted(envelope_errors, key=lambda x: x[0], reverse=False)\n", "\n", "# you can plot the fitted isotope envelope and the experimental data\n", "check_fitted_isotope_envelope(check_ana_obj, envelope_errors[300][1], if_plot=True)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'Count')" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.hist(\n", " np.array(envelope_errors)[:, 0],\n", ")\n", "plt.xlabel(\"Sum AE\")\n", "plt.ylabel(\"Count\")" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0.3669856716168908\n", "0.39744791298433696\n" ] } ], "source": [ "\n", "print(np.nanmedian(np.array(envelope_errors)[:, 0]))\n", "print(np.nanmean(np.array(envelope_errors)[:, 0]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## uptake check" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "from pigeon_feather.analysis import check_fitted_peptide_uptake\n", "\n", "\n", "all_idfs = list(set([pep.identifier for pep in all_peps]))\n", "\n", "\n", "def extract_numbers(s):\n", " numbers = re.findall(r\"(-?\\d+)-(-?\\d+)\", s)\n", " return tuple(map(int, numbers[0]))\n", "\n", "\n", "all_idfs.sort(key=extract_numbers)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "uptake_errors = []\n", "\n", "all_peps_grouped = tools.group_by_attributes(\n", " all_peps, [\"protein_state.state_name\", \"identifier\"]\n", ")\n", "\n", "for idf in all_idfs:\n", " try:\n", " idf_peps = all_peps_grouped[(check_state_name, idf)]\n", " avg_pep = tools.average_peptides(idf_peps)\n", "\n", " result = check_fitted_peptide_uptake(\n", " check_ana_obj, hdxms_data_list, avg_pep, state_name=check_state_name\n", " )\n", " uptake_errors.append((result, avg_pep))\n", " except Exception as e:\n", " print(idf, e)\n", "\n", "\n", "uptake_errors_array = np.array([i[0] for i in uptake_errors])" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import seaborn as sns\n", "\n", "\n", "fig, axes = plt.subplots(1, 2, figsize=(12, 5.5))\n", "\n", "# # Plotting with complementary colors\n", "# sns.histplot([x[0] for x in envelope_errors], bins=20, kde=True, ax=axes[0], color=\"#FF6347\")\n", "# sns.histplot(uptake_errors_array, bins=20, kde=True, ax=axes[1], color=\"#4682B4\")\n", "\n", "\n", "color_1 = \"#53b1b1\" # A standard blue color\n", "color_2 = \"#f6c624\" # A teal color\n", "\n", "# Plotting with chosen colors\n", "sns.histplot([x[0] for x in envelope_errors], bins=20, kde=True, ax=axes[0], color=color_1)\n", "sns.histplot(uptake_errors_array, bins=20, kde=True, ax=axes[1], color=color_2)\n", "\n", "axes[1].set_ylabel(\"\")\n", "axes[0].set_xlabel(\"Sum AE\")\n", "axes[1].set_xlabel(\"Da/peptide length\")\n", "fig.subplots_adjust(wspace=0.2)\n" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "from pigeon_feather.analysis import get_index_offset\n", "from matplotlib.ticker import LogLocator\n", "\n", "\n", "check_ana_obj = ana_apo_1\n", "index_offset = get_index_offset(check_ana_obj, './data/6XG5_TRI.pdb')\n", "\n", "uptake_errors = sorted(uptake_errors, key=lambda x: x[1].start, reverse=False)\n", "\n", "num_subplots_per_figure = math.ceil(len(uptake_errors) / 2)\n", "# num_subplots_per_figure = 250\n", "num_figures = math.ceil(len(all_idfs) / num_subplots_per_figure)\n", "\n", "\n", "for fig_index in range(num_figures):\n", " # Select the subset of errors for the current figure\n", " selected_uptake_errors = uptake_errors[fig_index * num_subplots_per_figure:(fig_index + 1) * num_subplots_per_figure]\n", " num_col = math.ceil(len(selected_uptake_errors) / 5)\n", "\n", " fig, axs = plt.subplots(num_col, 5, figsize=(9 * 5, 8 * num_col)) # Adjust subplot size as needed\n", "\n", " for i, error_tuple in enumerate(selected_uptake_errors):\n", "\n", "\n", " ax = axs[i // 5, i % 5]\n", "\n", "\n", " # Unpack error information\n", " peptide_data = error_tuple[1]\n", "\n", "\n", " ax.axhline(y=peptide_data.max_d, color='lightgray', linestyle='--', linewidth=5)\n", "\n", " check_fitted_peptide_uptake(\n", " check_ana_obj,\n", " hdxms_data_list,\n", " peptide_data,\n", " if_plot=True,\n", " state_name=check_state_name,\n", " figure=fig,\n", " ax=ax\n", " )\n", "\n", " #Retrieve and format the peptide identifier\n", " idf = peptide_data.identifier\n", " idf_start, idf_end = map(int, re.match(r\"(-?\\d+)-(-?\\d+)\", idf).groups())\n", " idf_seq = idf.split(\" \")[1]\n", " ax.set_title(f\"{idf_start - index_offset}-{idf_end - index_offset} {idf_seq}\")\n", "\n", " ax.set_xlim(1e1, 1e5)\n", " ax.xaxis.set_major_locator(LogLocator(base=10.0, numticks=5))\n", "\n", " # y_max = ax.get_ylim()[1]\n", " # ax.set_ylim(-0.5, y_max + 1)\n", " pep = error_tuple[1]\n", " y_max = pep.theo_max_d/check_ana_obj.saturation\n", " ax.set_ylim(-0.5, y_max + 0.5)\n", "\n", " # light gray dotted line at max deuteration\n", "\n", "\n", " handles, labels = ax.get_legend_handles_labels()\n", " new_labels = [label for label in labels if label.isdigit()]\n", " new_handles = [handle for handle, label in zip(handles, labels) if label.isdigit()]\n", " ax.legend(new_handles, new_labels, title='replicate', title_fontsize='small')\n", "\n", " # Layout adjustment and save\n", " fig.tight_layout()\n", " fig.savefig(f\"{results_path}/ecDHFR_uptake_errors_{check_state_name}_{fig_index}.pdf\")\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If the fitting is poor, do not proceed. Check the parameters in the sampling to ensure they agree with the experimental conditions. You may also need to remove outlier peptides and rerun the sampling. An outlier might be a peptide that exchanges a lot while its neighbors barely exchange (examples in the tutorial dataset: 78-92 VDEAIAACGDVPEIM, 75-78 VKSV).\n" ] } ], "metadata": { "kernelspec": { "display_name": "pigeon_feather", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.8" } }, "nbformat": 4, "nbformat_minor": 2 }