{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Intermediate EncoderMap: Different Topologies\n", "\n", "**Welcome**\n", "\n", "Welcome to the intermediate part of the EncoderMap tutorials. The notebooks in this section contain more in-depth explanations of the concepts in EncoderMap.\n", "\n", "## What are different topologies\n", "\n", "With the word *'topology'* we mean the connectivity of a protein. Think of it as a graph. The nodes are the atoms and the connections are the bonds. Two topologies are identical if their graphs are identical. Two proteins are different if you exchange or remove a single atom. \n", "\n", "For some proteins, we observe and describe so-called *protein families*. In such families, proteins with similar (but not identical) sequences perform very similar tasks in an organism. As their sequences are different proteins in such families exhibit different topologies. Using standard features (distances, angles, dihedrals) that depend on the sequence can't be used classically to describe and characterize such protein families. A pre-selection of features has to be performed on these topologically different proteins to achieve feature spaces with the same number of dimensions for all topologies.\n", "\n", "**EncoderMap III introduces a way to forego the pre-selection by allowing the input to the `AngleDihedralCartesianEncoderMap` to be sparse.**\n", "\n", "Authors: Kevin Sawade (kevin.sawade@uni-konstanz.de), Tobias Lemke, Christine Peter (christine.peter@uni-konstanz.de)\n", "\n", "Find the documentation of EncoderMap:\n", "\n", "https://ag-peter.github.io/encodermap\n", "\n", "**Goals**\n", "\n", "In this tutorial, you will learn:\n", "\n", "- How to " ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "# !pip install \"git+https://github.com/AG-Peter/encodermap.git@main\"\n", "# !pip install -r pip install -r https://raw.githubusercontent.com/AG-Peter/encodermap/main/tests/test_requirements.md" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Imports" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The autoreload extension is already loaded. To reload it, use:\n", " %reload_ext autoreload\n" ] } ], "source": [ "import encodermap as em\n", "import numpy as np\n", "import networkx as nx\n", "import plotly.graph_objects as go\n", "import plotly.express as px\n", "import warnings\n", "\n", "%load_ext autoreload\n", "%autoreload 2\n", "%config Completer.use_jedi = False" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Fix tensorflow seed for reproducibility" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "import tensorflow as tf\n", "tf.random.set_seed(1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Load the trajectories\n", "\n", "We use EncoderMap's `TrajEnsemble` class to load the trajectories and do the feature alignment." ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "traj_files = [\"glu7.xtc\", \"asp7.xtc\"]\n", "top_files = [\"glu7.pdb\", \"asp7.pdb\"]\n", "\n", "trajs = em.load(traj_files, top_files, common_str=[\"glu7\", \"asp7\"])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "There's an issue with the proteins in these trajectories. They are missing a connection between the C-terminal hydroxy oxygen and hydrogen. The `GLU7-HO` atom is extra." ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "customdata": [ "Bond between GLU1-CA and GLU1-C", "Bond between GLU1-C and GLU1-O", "Bond between GLU1-CA and GLU1-CB", "Bond between GLU1-N and GLU1-CA", "Bond between GLU1-CB and GLU1-CG", "Bond between GLU1-CG and GLU1-CD", "Bond between GLU1-CD and GLU1-OE1", "Bond between GLU1-CD and GLU1-OE2", "Bond between GLU1-N and GLU1-H", "Bond between GLU1-N and GLU1-H2", "Bond between GLU1-OE2 and GLU1-HE2", "Bond between GLU1-C and GLU2-N", "Bond between GLU2-CA and GLU2-C", "Bond between GLU2-C and GLU2-O", "Bond between GLU2-CA and GLU2-CB", "Bond between GLU2-N and GLU2-CA", "Bond between GLU2-CB and GLU2-CG", "Bond between GLU2-CG and GLU2-CD", "Bond between GLU2-CD and GLU2-OE1", "Bond between GLU2-CD and GLU2-OE2", "Bond between GLU2-N and GLU2-H", "Bond between GLU2-OE2 and GLU2-HE2", "Bond between GLU2-C and GLU3-N", "Bond between GLU3-CA and GLU3-C", "Bond between GLU3-C and GLU3-O", "Bond between GLU3-CA and GLU3-CB", "Bond between GLU3-N and GLU3-CA", "Bond between GLU3-CB and GLU3-CG", "Bond between GLU3-CG and GLU3-CD", "Bond between GLU3-CD and GLU3-OE1", "Bond between GLU3-CD and GLU3-OE2", "Bond between GLU3-N and GLU3-H", "Bond between GLU3-OE2 and GLU3-HE2", "Bond between GLU3-C and GLU4-N", "Bond between GLU4-CA and GLU4-C", "Bond between GLU4-C and GLU4-O", "Bond between GLU4-CA and GLU4-CB", "Bond between GLU4-N and GLU4-CA", "Bond between GLU4-CB and GLU4-CG", "Bond between GLU4-CG and GLU4-CD", "Bond between GLU4-CD and GLU4-OE1", "Bond between GLU4-CD and GLU4-OE2", "Bond between GLU4-N and GLU4-H", "Bond between GLU4-OE2 and GLU4-HE2", "Bond between GLU4-C and GLU5-N", "Bond between GLU5-CA and GLU5-C", "Bond between GLU5-C and GLU5-O", "Bond between GLU5-CA and GLU5-CB", "Bond between GLU5-N and GLU5-CA", "Bond between GLU5-CB and GLU5-CG", "Bond between GLU5-CG and GLU5-CD", "Bond between GLU5-CD and GLU5-OE1", "Bond between GLU5-CD and GLU5-OE2", "Bond between GLU5-N and GLU5-H", "Bond between GLU5-OE2 and GLU5-HE2", "Bond between GLU5-C and GLU6-N", "Bond between GLU6-CA and GLU6-C", "Bond between GLU6-C and GLU6-O", "Bond between GLU6-CA and GLU6-CB", "Bond between GLU6-N and GLU6-CA", "Bond between GLU6-CB and GLU6-CG", "Bond between GLU6-CG and GLU6-CD", "Bond between GLU6-CD and GLU6-OE1", "Bond between GLU6-CD and GLU6-OE2", "Bond between GLU6-N and GLU6-H", "Bond between GLU6-OE2 and GLU6-HE2", "Bond between GLU6-C and GLU7-N", "Bond between GLU7-CA and GLU7-C", "Bond between GLU7-C and GLU7-O", "Bond between GLU7-C and GLU7-OXT", "Bond between GLU7-CA and GLU7-CB", "Bond between GLU7-N and GLU7-CA", "Bond between GLU7-CB and GLU7-CG", "Bond between GLU7-CG and GLU7-CD", "Bond between GLU7-CD and GLU7-OE1", "Bond between GLU7-CD and GLU7-OE2", "Bond between GLU7-N and GLU7-H", "Bond between GLU7-OE2 and GLU7-HE2" ], "hovertemplate": "%{customdata}", "marker": { "color": "rgba(0, 0, 0, 0)", "opacity": 0, "size": 30 }, "mode": "markers", "name": "Bonds", "type": "scatter3d", "x": [ 3.3955001831054688, 3.4820001125335693, 3.392000198364258, 3.2980000972747803, 3.4120001792907715, 3.4245002269744873, 3.4890003204345703, 3.444500207901001, 3.2295002937316895, 3.2074999809265137, 3.447500228881836, 3.42900013923645, 3.558500289916992, 3.6655001640319824, 3.457000255584717, 3.450000286102295, 3.427000045776367, 3.4060001373291016, 3.430500030517578, 3.328500270843506, 3.389500141143799, 3.263500213623047, 3.6655001640319824, 3.874500274658203, 3.88450026512146, 3.869500160217285, 3.7690000534057617, 3.872000217437744, 3.874500274658203, 3.9600000381469727, 3.8615002632141113, 3.6665000915527344, 3.828500270843506, 3.9635000228881836, 4.169000625610352, 4.270500183105469, 4.07550048828125, 4.057000160217285, 4.064000129699707, 4.0279998779296875, 3.949000120162964, 3.992500066757202, 4.03849983215332, 3.9780001640319824, 4.282500267028809, 4.494500160217285, 4.537500381469727, 4.493000030517578, 4.394500255584717, 4.585000038146973, 4.666500091552734, 4.737500190734863, 4.631500244140625, 4.30049991607666, 4.5985002517700195, 4.514000415802002, 4.621500015258789, 4.730500221252441, 4.521500110626221, 4.526000022888184, 4.422500133514404, 4.333000183105469, 4.281000137329102, 4.3580002784729, 4.488000392913818, 4.380000114440918, 4.728000640869141, 4.921999931335449, 4.897500038146973, 4.998000144958496, 4.924500465393066, 4.829500198364258, 4.945500373840332, 4.934000015258789, 4.897500038146973, 4.947000503540039, 4.737500190734863, 4.955000400543213 ], "y": [ 3.769500255584717, 3.8520002365112305, 3.6579999923706055, 3.7280001640319824, 3.5295000076293945, 3.4020001888275146, 3.3550002574920654, 3.2810001373291016, 3.701500177383423, 3.771000385284424, 3.186000347137451, 3.8315000534057617, 3.943000316619873, 3.891000270843506, 3.938000202178955, 3.8930001258850098, 3.99750018119812, 4.052000045776367, 4.057499885559082, 4.017000198364258, 3.805500030517578, 4.002500057220459, 3.991000175476074, 4.124500274658203, 4.243500232696533, 4.041500091552734, 4.051000595092773, 3.9575002193450928, 3.877000331878662, 3.875500202178955, 3.820000171661377, 4.072999954223633, 3.7860002517700195, 4.180500030517578, 4.271500110626221, 4.199999809265137, 4.298500061035156, 4.2300004959106445, 4.383000373840332, 4.480500221252441, 4.462500095367432, 4.569000244140625, 4.127500534057617, 4.645000457763672, 4.307000160217285, 4.431500434875488, 4.535500526428223, 4.328500270843506, 4.359499931335449, 4.261500358581543, 4.166500091552734, 4.085000038146973, 4.080500602722168, 4.4045000076293945, 4.011000156402588, 4.532500267028809, 4.704500198364258, 4.692999839782715, 4.722500324249268, 4.631000518798828, 4.751500129699707, 4.799500465393066, 4.888999938964844, 4.820000171661377, 4.5345001220703125, 4.819000244140625, 4.721500396728516, 4.835500240325928, 4.944000244140625, 4.929500102996826, 4.742500305175781, 4.749000549316406, 4.645999908447266, 4.553500175476074, 4.573500156402588, 4.4745001792907715, 4.721500396728516, 4.416500091552734 ], "z": [ 1.626500129699707, 1.623500108718872, 1.567500114440918, 1.5460000038146973, 1.561000108718872, 1.5435000658035278, 1.4530000686645508, 1.5240001678466797, 1.4690001010894775, 1.5095000267028809, 1.507500171661377, 1.7230000495910645, 1.8665001392364502, 1.8880000114440918, 1.939000129699707, 1.8275001049041748, 2.0470001697540283, 2.1565001010894775, 2.2725000381469727, 2.249500036239624, 1.810500144958496, 2.31850004196167, 1.8370001316070557, 1.8320000171661377, 1.8415000438690186, 1.7370001077651978, 1.8070001602172852, 1.6375000476837158, 1.5375001430511475, 1.4530000686645508, 1.433000087738037, 1.7820000648498535, 1.349000096321106, 1.8920000791549683, 1.97350013256073, 1.9785001277923584, 2.0505001544952393, 1.9515001773834229, 2.1424999237060547, 2.2200000286102295, 2.307000160217285, 2.296999931335449, 1.938500165939331, 2.3585000038146973, 1.9565000534057617, 1.945500135421753, 1.9000000953674316, 1.876000165939331, 1.942000150680542, 1.8195000886917114, 1.7825000286102295, 1.727500081062317, 1.698500156402588, 1.9445000886917114, 1.6405000686645508, 2.009000062942505, 2.1010003089904785, 2.1485002040863037, 2.1720001697540283, 2.0855002403259277, 2.251500129699707, 2.325000047683716, 2.389500141143799, 2.440000057220459, 2.1050000190734863, 2.5345001220703125, 2.0410001277923584, 1.9860000610351562, 2.0370001792907715, 1.9865000247955322, 1.8995001316070557, 1.9760000705718994, 1.815500020980835, 1.727000117301941, 1.6125000715255737, 1.6350001096725464, 1.939000129699707, 1.569000005722046 ] }, { "hoverinfo": "skip", "marker": { "color": [ "rgb(0, 0, 255)", "rgb(200, 200, 200)", "rgb(200, 200, 200)", "rgb(80, 80, 80)", "rgb(80, 80, 80)", "rgb(80, 80, 80)", "rgb(80, 80, 80)", "rgb(255, 0, 0)", "rgb(255, 0, 0)", "rgb(200, 200, 200)", "rgb(80, 80, 80)", "rgb(255, 0, 0)", "rgb(0, 0, 255)", "rgb(200, 200, 200)", "rgb(80, 80, 80)", "rgb(80, 80, 80)", "rgb(80, 80, 80)", "rgb(80, 80, 80)", "rgb(255, 0, 0)", "rgb(255, 0, 0)", "rgb(200, 200, 200)", "rgb(80, 80, 80)", "rgb(255, 0, 0)", "rgb(0, 0, 255)", "rgb(200, 200, 200)", "rgb(80, 80, 80)", "rgb(80, 80, 80)", "rgb(80, 80, 80)", "rgb(80, 80, 80)", "rgb(255, 0, 0)", "rgb(255, 0, 0)", "rgb(200, 200, 200)", "rgb(80, 80, 80)", "rgb(255, 0, 0)", "rgb(0, 0, 255)", "rgb(200, 200, 200)", "rgb(80, 80, 80)", "rgb(80, 80, 80)", "rgb(80, 80, 80)", "rgb(80, 80, 80)", "rgb(255, 0, 0)", "rgb(255, 0, 0)", "rgb(200, 200, 200)", "rgb(80, 80, 80)", "rgb(255, 0, 0)", "rgb(0, 0, 255)", "rgb(200, 200, 200)", "rgb(80, 80, 80)", "rgb(80, 80, 80)", "rgb(80, 80, 80)", "rgb(80, 80, 80)", "rgb(255, 0, 0)", "rgb(255, 0, 0)", "rgb(200, 200, 200)", "rgb(80, 80, 80)", "rgb(255, 0, 0)", "rgb(0, 0, 255)", "rgb(200, 200, 200)", "rgb(80, 80, 80)", "rgb(80, 80, 80)", "rgb(80, 80, 80)", "rgb(80, 80, 80)", "rgb(255, 0, 0)", "rgb(255, 0, 0)", "rgb(200, 200, 200)", "rgb(80, 80, 80)", "rgb(255, 0, 0)", "rgb(0, 0, 255)", "rgb(200, 200, 200)", "rgb(80, 80, 80)", "rgb(80, 80, 80)", "rgb(80, 80, 80)", "rgb(80, 80, 80)", "rgb(255, 0, 0)", "rgb(255, 0, 0)", "rgb(200, 200, 200)", "rgb(80, 80, 80)", "rgb(255, 0, 0)", "rgb(255, 0, 0)", "rgb(200, 200, 200)" ], "opacity": 1, "size": [ 18.46153846153846, 7.692307692307692, 7.692307692307692, 18.46153846153846, 18.46153846153846, 18.46153846153846, 18.46153846153846, 18.46153846153846, 18.46153846153846, 7.692307692307692, 18.46153846153846, 18.46153846153846, 18.46153846153846, 7.692307692307692, 18.46153846153846, 18.46153846153846, 18.46153846153846, 18.46153846153846, 18.46153846153846, 18.46153846153846, 7.692307692307692, 18.46153846153846, 18.46153846153846, 18.46153846153846, 7.692307692307692, 18.46153846153846, 18.46153846153846, 18.46153846153846, 18.46153846153846, 18.46153846153846, 18.46153846153846, 7.692307692307692, 18.46153846153846, 18.46153846153846, 18.46153846153846, 7.692307692307692, 18.46153846153846, 18.46153846153846, 18.46153846153846, 18.46153846153846, 18.46153846153846, 18.46153846153846, 7.692307692307692, 18.46153846153846, 18.46153846153846, 18.46153846153846, 7.692307692307692, 18.46153846153846, 18.46153846153846, 18.46153846153846, 18.46153846153846, 18.46153846153846, 18.46153846153846, 7.692307692307692, 18.46153846153846, 18.46153846153846, 18.46153846153846, 7.692307692307692, 18.46153846153846, 18.46153846153846, 18.46153846153846, 18.46153846153846, 18.46153846153846, 18.46153846153846, 7.692307692307692, 18.46153846153846, 18.46153846153846, 18.46153846153846, 7.692307692307692, 18.46153846153846, 18.46153846153846, 18.46153846153846, 18.46153846153846, 18.46153846153846, 18.46153846153846, 7.692307692307692, 18.46153846153846, 18.46153846153846, 18.46153846153846, 7.692307692307692 ] }, "mode": "markers", "name": "Atoms", "type": "scatter3d", "x": [ 3.2450001, 3.2140002, 3.17, 3.351, 3.433, 3.3910003, 3.4580002, 3.5200002, 3.4310002, 3.4640002, 3.44, 3.5240002, 3.4180002, 3.361, 3.482, 3.4320002, 3.4220002, 3.39, 3.4710002, 3.2670002, 3.2600002, 3.6350002, 3.696, 3.696, 3.637, 3.8420002, 3.897, 3.8470001, 3.9020002, 4.018, 3.821, 3.8360002, 3.9070003, 3.8620002, 4.02, 4.057, 4.0940003, 4.057, 4.071, 3.9850001, 3.913, 4, 3.956, 4.2440004, 4.2970004, 4.321, 4.28, 4.4680004, 4.518, 4.6520004, 4.681, 4.794, 4.5820003, 4.6150002, 4.5210004, 4.5540004, 4.5070004, 4.4690003, 4.545, 4.498, 4.347, 4.3190002, 4.243, 4.3970003, 4.3630004, 4.6980004, 4.763, 4.7580004, 4.717, 4.901, 4.9480004, 4.9430003, 4.925, 4.8700004, 4.9690003, 4.9410005, 4.9430003, 5.0530005, 4.852, 4.899 ], "y": [ 3.7400002, 3.663, 3.8020003, 3.716, 3.6000001, 3.459, 3.3450003, 3.3650002, 3.2170002, 3.1550002, 3.8230002, 3.8810003, 3.8400002, 3.7710001, 3.946, 3.9300003, 4.065, 4.039, 4.076, 3.9950001, 4.01, 3.9400003, 3.8420002, 4.0420003, 4.104, 4.0600004, 4.0230002, 3.8920002, 3.8620002, 3.8890002, 3.778, 3.7940001, 4.189, 4.2980003, 4.1720004, 4.083, 4.288, 4.309, 4.4570003, 4.504, 4.421, 4.6340003, 4.656, 4.255, 4.145, 4.359, 4.4500003, 4.36, 4.2970004, 4.2260003, 4.1070004, 4.063, 4.0540004, 3.9680002, 4.5030003, 4.5680003, 4.5620003, 4.5070004, 4.7000003, 4.7450004, 4.7580004, 4.841, 4.9370003, 4.7990003, 4.839, 4.709, 4.677, 4.734, 4.709, 4.7640004, 4.721, 4.571, 4.5360003, 4.611, 4.413, 4.42, 4.907, 4.952, 4.9810004, 5.0690002 ], "z": [ 1.4970001, 1.4410001, 1.5220001, 1.595, 1.5400001, 1.582, 1.5050001, 1.401, 1.5430001, 1.4720001, 1.6580001, 1.5890001, 1.7880001, 1.8330001, 1.8670001, 2.0110002, 2.0830002, 2.23, 2.315, 2.269, 2.368, 1.866, 1.9100001, 1.8080001, 1.756, 1.8060001, 1.6680001, 1.6070001, 1.468, 1.4380001, 1.3980001, 1.3000001, 1.858, 1.825, 1.9260001, 1.9510001, 1.9770001, 2.124, 2.161, 2.279, 2.335, 2.315, 2.4020002, 1.9700001, 1.9870001, 1.9430001, 1.9460001, 1.9410001, 1.8110001, 1.8280001, 1.7370001, 1.718, 1.6600001, 1.621, 1.95, 1.8500001, 2.068, 2.1420002, 2.1030002, 2.2410002, 2.262, 2.388, 2.391, 2.492, 2.5770001, 2.0990002, 2.1980002, 1.983, 1.8950001, 1.9690001, 1.83, 1.8010001, 1.6530001, 1.572, 1.6170001, 1.521, 2.003, 1.9700001, 2.071, 2.078 ] }, { "hoverinfo": "skip", "line": { "color": "black", "width": 6 }, "mode": "lines", "name": "", "type": "scatter3d", "x": [ 3.3510000705718994, 3.440000057220459, null, 3.440000057220459, 3.5240001678466797, null, 3.3510000705718994, 3.433000087738037, null, 3.245000123977661, 3.3510000705718994, null, 3.433000087738037, 3.391000270843506, null, 3.391000270843506, 3.4580001831054688, null, 3.4580001831054688, 3.5200002193450928, null, 3.4580001831054688, 3.431000232696533, null, 3.245000123977661, 3.2140002250671387, null, 3.245000123977661, 3.1700000762939453, null, 3.431000232696533, 3.4640002250671387, null, 3.440000057220459, 3.4180002212524414, null, 3.4820001125335693, 3.635000228881836, null, 3.635000228881836, 3.696000099182129, null, 3.4820001125335693, 3.432000160217285, null, 3.4180002212524414, 3.4820001125335693, null, 3.432000160217285, 3.4220001697540283, null, 3.4220001697540283, 3.390000104904175, null, 3.390000104904175, 3.4710001945495605, null, 3.390000104904175, 3.267000198364258, null, 3.4180002212524414, 3.3610000610351562, null, 3.267000198364258, 3.260000228881836, null, 3.635000228881836, 3.696000099182129, null, 3.8420002460479736, 3.9070003032684326, null, 3.9070003032684326, 3.8620002269744873, null, 3.8420002460479736, 3.8970000743865967, null, 3.696000099182129, 3.8420002460479736, null, 3.8970000743865967, 3.8470001220703125, null, 3.8470001220703125, 3.9020001888275146, null, 3.9020001888275146, 4.01800012588501, null, 3.9020001888275146, 3.821000099182129, null, 3.696000099182129, 3.63700008392334, null, 3.821000099182129, 3.8360002040863037, null, 3.9070003032684326, 4.019999980926514, null, 4.094000339508057, 4.244000434875488, null, 4.244000434875488, 4.297000408172607, null, 4.094000339508057, 4.057000160217285, null, 4.019999980926514, 4.094000339508057, null, 4.057000160217285, 4.071000099182129, null, 4.071000099182129, 3.9850001335144043, null, 3.9850001335144043, 3.9130001068115234, null, 3.9850001335144043, 4, null, 4.019999980926514, 4.057000160217285, null, 4, 3.9560000896453857, null, 4.244000434875488, 4.321000099182129, null, 4.468000411987305, 4.521000385284424, null, 4.521000385284424, 4.554000377655029, null, 4.468000411987305, 4.51800012588501, null, 4.321000099182129, 4.468000411987305, null, 4.51800012588501, 4.652000427246094, null, 4.652000427246094, 4.681000232696533, null, 4.681000232696533, 4.794000148773193, null, 4.681000232696533, 4.582000255584717, null, 4.321000099182129, 4.28000020980835, null, 4.582000255584717, 4.615000247955322, null, 4.521000385284424, 4.50700044631958, null, 4.545000076293945, 4.698000431060791, null, 4.698000431060791, 4.763000011444092, null, 4.545000076293945, 4.498000144958496, null, 4.50700044631958, 4.545000076293945, null, 4.498000144958496, 4.3470001220703125, null, 4.3470001220703125, 4.319000244140625, null, 4.319000244140625, 4.243000030517578, null, 4.319000244140625, 4.397000312805176, null, 4.50700044631958, 4.469000339508057, null, 4.397000312805176, 4.363000392913818, null, 4.698000431060791, 4.758000373840332, null, 4.901000022888184, 4.943000316619873, null, 4.943000316619873, 4.8520002365112305, null, 4.943000316619873, 5.053000450134277, null, 4.901000022888184, 4.948000431060791, null, 4.758000373840332, 4.901000022888184, null, 4.948000431060791, 4.943000316619873, null, 4.943000316619873, 4.925000190734863, null, 4.925000190734863, 4.87000036239624, null, 4.925000190734863, 4.969000339508057, null, 4.758000373840332, 4.7170000076293945, null, 4.969000339508057, 4.941000461578369, null ], "y": [ 3.7160000801086426, 3.823000192642212, null, 3.823000192642212, 3.881000280380249, null, 3.7160000801086426, 3.6000001430511475, null, 3.7400002479553223, 3.7160000801086426, null, 3.6000001430511475, 3.4590001106262207, null, 3.4590001106262207, 3.3450002670288086, null, 3.3450002670288086, 3.3650002479553223, null, 3.3450002670288086, 3.2170002460479736, null, 3.7400002479553223, 3.6630001068115234, null, 3.7400002479553223, 3.8020002841949463, null, 3.2170002460479736, 3.1550002098083496, null, 3.823000192642212, 3.8400001525878906, null, 3.946000099182129, 3.940000295639038, null, 3.940000295639038, 3.8420002460479736, null, 3.946000099182129, 3.9300003051757812, null, 3.8400001525878906, 3.946000099182129, null, 3.9300003051757812, 4.065000057220459, null, 4.065000057220459, 4.039000034332275, null, 4.039000034332275, 4.076000213623047, null, 4.039000034332275, 3.995000123977661, null, 3.8400001525878906, 3.7710001468658447, null, 3.995000123977661, 4.010000228881836, null, 3.940000295639038, 4.0420002937316895, null, 4.060000419616699, 4.189000129699707, null, 4.189000129699707, 4.298000335693359, null, 4.060000419616699, 4.023000240325928, null, 4.0420002937316895, 4.060000419616699, null, 4.023000240325928, 3.892000198364258, null, 3.892000198364258, 3.8620002269744873, null, 3.8620002269744873, 3.889000177383423, null, 3.8620002269744873, 3.7780001163482666, null, 4.0420002937316895, 4.104000091552734, null, 3.7780001163482666, 3.7940001487731934, null, 4.189000129699707, 4.172000408172607, null, 4.288000106811523, 4.255000114440918, null, 4.255000114440918, 4.144999980926514, null, 4.288000106811523, 4.309000015258789, null, 4.172000408172607, 4.288000106811523, null, 4.309000015258789, 4.457000255584717, null, 4.457000255584717, 4.504000186920166, null, 4.504000186920166, 4.421000003814697, null, 4.504000186920166, 4.634000301361084, null, 4.172000408172607, 4.083000183105469, null, 4.634000301361084, 4.656000137329102, null, 4.255000114440918, 4.359000205993652, null, 4.360000133514404, 4.503000259399414, null, 4.503000259399414, 4.568000316619873, null, 4.360000133514404, 4.297000408172607, null, 4.359000205993652, 4.360000133514404, null, 4.297000408172607, 4.2260003089904785, null, 4.2260003089904785, 4.107000350952148, null, 4.107000350952148, 4.063000202178955, null, 4.107000350952148, 4.054000377655029, null, 4.359000205993652, 4.450000286102295, null, 4.054000377655029, 3.9680001735687256, null, 4.503000259399414, 4.562000274658203, null, 4.700000286102295, 4.709000110626221, null, 4.709000110626221, 4.677000045776367, null, 4.700000286102295, 4.74500036239624, null, 4.562000274658203, 4.700000286102295, null, 4.74500036239624, 4.758000373840332, null, 4.758000373840332, 4.841000080108643, null, 4.841000080108643, 4.937000274658203, null, 4.841000080108643, 4.799000263214111, null, 4.562000274658203, 4.50700044631958, null, 4.799000263214111, 4.839000225067139, null, 4.709000110626221, 4.734000205993652, null, 4.764000415802002, 4.9070000648498535, null, 4.9070000648498535, 4.9810004234313965, null, 4.9070000648498535, 4.952000141143799, null, 4.764000415802002, 4.7210001945495605, null, 4.734000205993652, 4.764000415802002, null, 4.7210001945495605, 4.571000099182129, null, 4.571000099182129, 4.5360002517700195, null, 4.5360002517700195, 4.611000061035156, null, 4.5360002517700195, 4.413000106811523, null, 4.734000205993652, 4.709000110626221, null, 4.413000106811523, 4.420000076293945, null ], "z": [ 1.5950000286102295, 1.658000111579895, null, 1.658000111579895, 1.5890001058578491, null, 1.5950000286102295, 1.540000081062317, null, 1.4970000982284546, 1.5950000286102295, null, 1.540000081062317, 1.5820000171661377, null, 1.5820000171661377, 1.505000114440918, null, 1.505000114440918, 1.4010000228881836, null, 1.505000114440918, 1.5430001020431519, null, 1.4970000982284546, 1.4410001039505005, null, 1.4970000982284546, 1.5220000743865967, null, 1.5430001020431519, 1.4720001220703125, null, 1.658000111579895, 1.7880001068115234, null, 1.8670001029968262, 1.8660000562667847, null, 1.8660000562667847, 1.9100000858306885, null, 1.8670001029968262, 2.011000156402588, null, 1.7880001068115234, 1.8670001029968262, null, 2.011000156402588, 2.0830001831054688, null, 2.0830001831054688, 2.2300000190734863, null, 2.2300000190734863, 2.315000057220459, null, 2.2300000190734863, 2.2690000534057617, null, 1.7880001068115234, 1.8330000638961792, null, 2.2690000534057617, 2.368000030517578, null, 1.8660000562667847, 1.808000087738037, null, 1.8060001134872437, 1.8580000400543213, null, 1.8580000400543213, 1.8250000476837158, null, 1.8060001134872437, 1.6680001020431519, null, 1.808000087738037, 1.8060001134872437, null, 1.6680001020431519, 1.6070001125335693, null, 1.6070001125335693, 1.468000054359436, null, 1.468000054359436, 1.4380000829696655, null, 1.468000054359436, 1.3980001211166382, null, 1.808000087738037, 1.75600004196167, null, 1.3980001211166382, 1.3000000715255737, null, 1.8580000400543213, 1.9260001182556152, null, 1.977000117301941, 1.970000147819519, null, 1.970000147819519, 1.9870001077651978, null, 1.977000117301941, 2.124000072479248, null, 1.9260001182556152, 1.977000117301941, null, 2.124000072479248, 2.1610000133514404, null, 2.1610000133514404, 2.2790000438690186, null, 2.2790000438690186, 2.3350000381469727, null, 2.2790000438690186, 2.315000057220459, null, 1.9260001182556152, 1.9510000944137573, null, 2.315000057220459, 2.4020001888275146, null, 1.970000147819519, 1.943000078201294, null, 1.9410001039505005, 1.9500000476837158, null, 1.9500000476837158, 1.8500001430511475, null, 1.9410001039505005, 1.811000108718872, null, 1.943000078201294, 1.9410001039505005, null, 1.811000108718872, 1.8280000686645508, null, 1.8280000686645508, 1.7370001077651978, null, 1.7370001077651978, 1.718000054359436, null, 1.7370001077651978, 1.6600000858306885, null, 1.943000078201294, 1.946000099182129, null, 1.6600000858306885, 1.621000051498413, null, 1.9500000476837158, 2.068000078201294, null, 2.1030001640319824, 2.0990002155303955, null, 2.0990002155303955, 2.198000192642212, null, 2.1030001640319824, 2.241000175476074, null, 2.068000078201294, 2.1030001640319824, null, 2.241000175476074, 2.26200008392334, null, 2.26200008392334, 2.388000011444092, null, 2.388000011444092, 2.3910000324249268, null, 2.388000011444092, 2.492000102996826, null, 2.068000078201294, 2.142000198364258, null, 2.492000102996826, 2.577000141143799, null, 2.0990002155303955, 1.9830000400543213, null, 1.9690001010894775, 2.003000020980835, null, 2.003000020980835, 2.071000099182129, null, 2.003000020980835, 1.970000147819519, null, 1.9690001010894775, 1.8300000429153442, null, 1.9830000400543213, 1.9690001010894775, null, 1.8300000429153442, 1.8010001182556152, null, 1.8010001182556152, 1.6530001163482666, null, 1.6530001163482666, 1.5720000267028809, null, 1.6530001163482666, 1.6170001029968262, null, 1.9830000400543213, 1.8950001001358032, null, 1.6170001029968262, 1.5210000276565552, null ] } ], "layout": { "height": 900, "scene": { "aspectmode": "auto", "aspectratio": { "x": 1.1320249670923703, "y": 1.1506612913882908, "z": 0.7677087508933356 }, "camera": { "center": { "x": 0, "y": 0, "z": 0 }, "eye": { "x": 1.4953909310503786, "y": -1.413084019270494, "z": 0.6741657940111083 }, "projection": { "type": "perspective" }, "up": { "x": 0, "y": 0, "z": 1 } }, "xaxis": { "gridcolor": "rgb(102, 102, 102)", "type": "linear" }, "yaxis": { "gridcolor": "rgb(102, 102, 102)", "type": "linear" }, "zaxis": { "gridcolor": "rgb(102, 102, 102)", "type": "linear" } }, "showlegend": false, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "fillpattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "width": 900 } }, "image/png": "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", "text/html": [ "
<xarray.Dataset>\n", "Dimensions: (traj_num: 1, frame_num: 10001,\n", " ATOM: 21, COORDS: 3,\n", " CENTRAL_DISTANCES: 20,\n", " CENTRAL_ANGLES: 19,\n", " CENTRAL_DIHEDRALS: 18,\n", " SIDE_DIHEDRALS: 14, ATOM_NO: 4)\n", "Coordinates:\n", " * traj_num (traj_num) int64 1\n", " traj_name (traj_num) <U4 'asp7'\n", " * frame_num (frame_num) int64 0 1 2 ... 9999 10000\n", " * ATOM (ATOM) <U33 'ATOM N: 0 ASP: ...\n", " * COORDS (COORDS) <U10 'POSITION X' ... 'POSIT...\n", " time (frame_num) float32 0.0 500.0 ... 5e+06\n", " * CENTRAL_DISTANCES (CENTRAL_DISTANCES) <U81 'CENTERDISTA...\n", " * CENTRAL_ANGLES (CENTRAL_ANGLES) <U113 'CENTERANGLE ...\n", " * CENTRAL_DIHEDRALS (CENTRAL_DIHEDRALS) <U39 'CENTERDIH P...\n", " * SIDE_DIHEDRALS (SIDE_DIHEDRALS) <U39 'SIDECHDIH CHI1...\n", " * ATOM_NO (ATOM_NO) int64 0 1 2 3\n", "Data variables:\n", " central_cartesians (traj_num, frame_num, ATOM, COORDS) float32 ...\n", " central_distances (traj_num, frame_num, CENTRAL_DISTANCES) float32 ...\n", " central_angles (traj_num, frame_num, CENTRAL_ANGLES) float32 ...\n", " central_dihedrals (traj_num, frame_num, CENTRAL_DIHEDRALS) float32 ...\n", " side_dihedrals (traj_num, frame_num, SIDE_DIHEDRALS) float32 ...\n", " central_cartesians_feature_indices (traj_num, ATOM) int32 0 1 2 ... 49 50\n", " central_distances_feature_indices (traj_num, CENTRAL_DISTANCES, ATOM_NO) float64 ...\n", " central_angles_feature_indices (traj_num, CENTRAL_ANGLES, ATOM_NO) float64 ...\n", " central_dihedrals_feature_indices (traj_num, CENTRAL_DIHEDRALS, ATOM_NO) int32 ...\n", " side_dihedrals_feature_indices (traj_num, SIDE_DIHEDRALS, ATOM_NO) int32 ...\n", "Attributes:\n", " length_units: nm\n", " time_units: ps\n", " feature_axes: ['SIDE_DIHEDRALS', 'ATOM', 'CENTRAL_DISTANCES', 'CENTRAL_...\n", " full_path: asp7.xtc\n", " topology_file: asp7.pdb
\n", "\n" ], "text/plain": [ "\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "with warnings.catch_warnings():\n", " warnings.simplefilter(\"ignore\")\n", " trajs.load_CVs(\"all\", ensemble=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Notice, how the features are now labelled with more generic labels. These generic labels allow EncoderMap to combine feature spaces from different topologies." ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
<xarray.Dataset>\n", "Dimensions: (frame_num: 10001, ATOM: 21, COORDS: 3,\n", " CENTRAL_DISTANCES: 20,\n", " CENTRAL_ANGLES: 19,\n", " CENTRAL_DIHEDRALS: 18,\n", " SIDE_DIHEDRALS: 21, ATOM_NO: 4,\n", " traj_num: 2)\n", "Coordinates:\n", " * frame_num (frame_num) int64 0 1 2 ... 9999 10000\n", " * ATOM (ATOM) <U2 '1' '2' '3' ... '20' '21'\n", " * COORDS (COORDS) <U10 'POSITION X' ... 'POSIT...\n", " * CENTRAL_DISTANCES (CENTRAL_DISTANCES) <U18 'CENTERDISTA...\n", " * CENTRAL_ANGLES (CENTRAL_ANGLES) <U18 'CENTERANGLE ...\n", " * CENTRAL_DIHEDRALS (CENTRAL_DIHEDRALS) <U18 'CENTERDIH P...\n", " * SIDE_DIHEDRALS (SIDE_DIHEDRALS) <U18 'SIDECHDIH CHI1...\n", " * ATOM_NO (ATOM_NO) int64 0 1 2 3\n", " * traj_num (traj_num) int64 0 1\n", " traj_name (traj_num) <U4 'glu7' 'asp7'\n", " time (traj_num, frame_num) float32 0.0 ......\n", "Data variables:\n", " central_cartesians (traj_num, frame_num, ATOM, COORDS) float32 ...\n", " central_distances (traj_num, frame_num, CENTRAL_DISTANCES) float32 ...\n", " central_angles (traj_num, frame_num, CENTRAL_ANGLES) float32 ...\n", " central_dihedrals (traj_num, frame_num, CENTRAL_DIHEDRALS) float32 ...\n", " side_dihedrals (traj_num, frame_num, SIDE_DIHEDRALS) float32 ...\n", " central_cartesians_feature_indices (traj_num, ATOM) int32 0 3 10 ... 49 50\n", " central_distances_feature_indices (traj_num, CENTRAL_DISTANCES, ATOM_NO) float64 ...\n", " central_angles_feature_indices (traj_num, CENTRAL_ANGLES, ATOM_NO) float64 ...\n", " central_dihedrals_feature_indices (traj_num, CENTRAL_DIHEDRALS, ATOM_NO) int32 ...\n", " side_dihedrals_feature_indices (traj_num, SIDE_DIHEDRALS, ATOM_NO) float64 ...\n", "Attributes:\n", " length_units: nm\n", " time_units: ps\n", " feature_axes: ['SIDE_DIHEDRALS', 'ATOM', 'CENTRAL_DISTANCES', 'CENTRAL...\n", " angle_units: rad\n", " full_paths: ['asp7.xtc', 'glu7.xtc']\n", " topology_files: ['asp7.pdb', 'glu7.pdb']
<xarray.DataArray 'side_dihedrals' (frame_num: 10001)>\n", "array([-0.23724079, 1.5991355 , -2.6023357 , ..., 1.7465132 ,\n", " -1.3356311 , -1.5160242 ], dtype=float32)\n", "Coordinates:\n", " * frame_num (frame_num) int64 0 1 2 3 4 5 ... 9996 9997 9998 9999 10000\n", " SIDE_DIHEDRALS <U18 'SIDECHDIH CHI3 1'\n", " traj_num int64 0\n", " traj_name <U4 'glu7'\n", " time (frame_num) float32 0.0 500.0 1e+03 ... 5e+06 5e+06\n", "Attributes:\n", " length_units: nm\n", " time_units: ps\n", " full_paths: ['asp7.xtc', 'glu7.xtc']\n", " topology_files: ['asp7.pdb', 'glu7.pdb']\n", " angle_units: rad\n", " feature_axis: SIDE_DIHEDRALS" ], "text/plain": [ "
<xarray.DataArray 'side_dihedrals' (frame_num: 10001)>\n", "array([nan, nan, nan, ..., nan, nan, nan], dtype=float32)\n", "Coordinates:\n", " * frame_num (frame_num) int64 0 1 2 3 4 5 ... 9996 9997 9998 9999 10000\n", " SIDE_DIHEDRALS <U18 'SIDECHDIH CHI3 1'\n", " traj_num int64 1\n", " traj_name <U4 'asp7'\n", " time (frame_num) float32 0.0 500.0 1e+03 ... 5e+06 5e+06\n", "Attributes:\n", " length_units: nm\n", " time_units: ps\n", " full_paths: ['asp7.xtc', 'glu7.xtc']\n", " topology_files: ['asp7.pdb', 'glu7.pdb']\n", " angle_units: rad\n", " feature_axis: SIDE_DIHEDRALS" ], "text/plain": [ "