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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 1, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"name": "stderr", | ||
"output_type": "stream", | ||
"text": [ | ||
"/home/simon/.local/lib/python3.11/site-packages/MDAnalysis/topology/TPRParser.py:161: DeprecationWarning: 'xdrlib' is deprecated and slated for removal in Python 3.13\n", | ||
" import xdrlib\n" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"import numpy as np\n", | ||
"import MDAnalysis as mda\n", | ||
"import nmrformd as nmrmd" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"import sys, os, git\n", | ||
"current_path = os.getcwd()\n", | ||
"git_repo = git.Repo(current_path, search_parent_directories=True)\n", | ||
"git_path = git_repo.git.rev_parse(\"--show-toplevel\")\n", | ||
"sys.path.append(git_path+\"/examples/pyplot-perso/\")\n", | ||
"from color_series1 import colors\n", | ||
"from functions import complete_panel, save_figure, set_boundaries, add_subplotlabels, set_boundaries\n", | ||
"path_figures = \"/docs/source/figures/illustrations/lysozyme-in-water/\"" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3", | ||
"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": "3.11.4" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 2 | ||
} |
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examples/illustrations/lysozyme-in-water/analysis.ipynb
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"import numpy as np\n", | ||
"import MDAnalysis as mda\n", | ||
"import nmrformd" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"import sys, os, git\n", | ||
"current_path = os.getcwd()\n", | ||
"git_repo = git.Repo(current_path, search_parent_directories=True)\n", | ||
"git_path = git_repo.git.rev_parse(\"--show-toplevel\")" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"def save_result(data, name = \"intra_H2O\"):\n", | ||
" \"\"\"Save the correlation functions in dictionary\"\"\"\n", | ||
" if not os.path.exists(\"raw_data/\"):\n", | ||
" os.makedirs(\"raw_data/\")\n", | ||
" saving_file = \"raw_data/\" + name + \".npy\"\n", | ||
" t = data.t\n", | ||
" f = data.f\n", | ||
" C = data.gij[0]\n", | ||
" R1 = data.R1\n", | ||
" R2 = data.R2\n", | ||
" N = data.group_j.atoms.n_atoms\n", | ||
" try:\n", | ||
" previous_dictionary = np.load(saving_file, allow_pickle=True)\n", | ||
" t_prev = np.real(previous_dictionary.item()[\"t\"])\n", | ||
" assert len(t_prev) == len(t)\n", | ||
" C_prev = np.real(previous_dictionary.item()[\"C\"])\n", | ||
" R1_prev = np.real(previous_dictionary.item()[\"R1\"])\n", | ||
" R2_prev = np.real(previous_dictionary.item()[\"R2\"])\n", | ||
" N_prev = np.real(previous_dictionary.item()[\"N\"])\n", | ||
" C = (C*N + C_prev*N_prev) / (N_prev + N)\n", | ||
" R1 = (R1*N + R1_prev*N_prev) / (N_prev + N)\n", | ||
" R2 = (R2*N + R2_prev*N_prev) / (N_prev + N)\n", | ||
" N += N_prev\n", | ||
" except:\n", | ||
" pass\n", | ||
" dictionary = {\n", | ||
" \"t\": t,\n", | ||
" \"f\": f,\n", | ||
" \"C\": C,\n", | ||
" \"N\": N,\n", | ||
" \"R1\": R1,\n", | ||
" \"R2\": R2,\n", | ||
" }\n", | ||
" np.save(saving_file, dictionary)\n", | ||
" return N" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"folder = git_path + \"/nmrformd-data/HEWL-in-water/raw-data/water-to-protein-0.73/\"\n", | ||
"tpr = folder+\"prod.tpr\"\n", | ||
"all_xtc = [folder+\"prod1.xtc\",\n", | ||
" folder+\"prod2.xtc\",\n", | ||
" folder+\"prod3.xtc\",\n", | ||
" folder+\"prod4.xtc\"]" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"u = mda.Universe(tpr, all_xtc)\n", | ||
"# isolate the hydrogen from water and from the protein\n", | ||
"H2O = u.select_atoms(\"name HW1 HW2\")\n", | ||
"HEWL = u.select_atoms(\"\")\n", | ||
"for name in np.unique(u.atoms.names):\n", | ||
" if (name[0] == \"H\") & (name != \"HW1\") & (name != \"HW2\"):\n", | ||
" HEWL += u.select_atoms(\"name \"+name)\n", | ||
"ALL = H2O + HEWL\n", | ||
"while 1 < 2:\n", | ||
" # H2O-H2O\n", | ||
" intra_H2O = nmrformd.NMR(u, atom_group=H2O, neighbor_group=H2O, type_analysis=\"intra_molecular\", number_i=1)\n", | ||
" inter_H2O = nmrformd.NMR(u, atom_group=H2O, neighbor_group=H2O, type_analysis=\"inter_molecular\", number_i=1)\n", | ||
" full_H2O = nmrformd.NMR(u, atom_group=H2O, neighbor_group=H2O, number_i=1)\n", | ||
" # HEWL-HEWL\n", | ||
" intra_HEWL = nmrformd.NMR(u, atom_group=HEWL, neighbor_group=HEWL, type_analysis=\"intra_molecular\", number_i=1)\n", | ||
" inter_HEWL = nmrformd.NMR(u, atom_group=HEWL, neighbor_group=HEWL, type_analysis=\"inter_molecular\", number_i=1)\n", | ||
" full_HEWL = nmrformd.NMR(u, atom_group=HEWL, neighbor_group=HEWL, number_i=1)\n", | ||
" # H2O-HEWL\n", | ||
" inter_H2O_HEWL = nmrformd.NMR(u, atom_group=H2O, neighbor_group=HEWL, number_i=1)\n", | ||
" inter_HEWL_H2O = nmrformd.NMR(u, atom_group=HEWL, neighbor_group=H2O, number_i=1)\n", | ||
" # FULL\n", | ||
" FULL = nmrformd.NMR(u, atom_group=ALL, neighbor_group=ALL, number_i=1)\n", | ||
" # save_results\n", | ||
" N = save_result(intra_H2O, name = \"intra_H2O\")\n", | ||
" print(\"Number of cycle:\", N)\n", | ||
" N = save_result(inter_H2O, name = \"inter_H2O\")\n", | ||
" N = save_result(full_H2O, name = \"full_H2O\")\n", | ||
" N = save_result(intra_HEWL, name = \"intra_HEWL\")\n", | ||
" N = save_result(inter_HEWL, name = \"inter_HEWL\")\n", | ||
" N = save_result(full_HEWL, name = \"full_HEWL\")\n", | ||
" N = save_result(inter_H2O_HEWL, name = \"inter_H2O_HEWL\")\n", | ||
" N = save_result(inter_HEWL_H2O, name = \"inter_HEWL_H2O\")\n", | ||
" N = save_result(FULL, name = \"FULL\")" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3", | ||
"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": "3.11.4" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 2 | ||
} |
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