{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Getting Started\n", "Let's walk through an example application of Geometricus in machine learning using a dataset of\n", "human MAP kinases, divided into three classes - JNK, Erk, and p38 kinases. This dataset was generated from the [Kinase-Ligand Interaction Fingerprints and Structures database (KLIFS)](https://klifs.vu-compmedchem.nl/index.php) (Raw table [here](../../example_data/MAPK_KLIFS.tsv))." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "527" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pnd\n", "from time import time\n", "\n", "url = \"https://raw.githubusercontent.com/TurtleTools/geometricus/master/example_data/MAPK_KLIFS.tsv\"\n", "mapk_df = pnd.read_csv(url, sep=\"\\t\")\n", "\n", "mapk_pdb_id_to_class = {}\n", "for pdb_id, chain, class_name in list(zip(mapk_df[\"PDB\"], mapk_df[\"CHAIN\"], mapk_df[\"CLASS\"])):\n", " mapk_pdb_id_to_class[f\"{pdb_id}_{chain}\"] = class_name\n", "len(mapk_pdb_id_to_class)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "So now we have a list of PDBID_chain pairs, each associated with a class" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "X_names = list(mapk_pdb_id_to_class.keys())\n", "class_mapping = {\"JNK\": 0, \"Erk\": 1, \"p38\": 2}\n", "y = [class_mapping[mapk_pdb_id_to_class[k]] for k in X_names]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Structural fragmentation\n", "\n", "We consider two different ways of dividing a protein with $l$ residues into structural fragments, a $k$-mer-based approach and a radius-based approach. For each structural fragment, multiple rotation and translation-invariant moments can be calculated. While the $k$-mer based approach is effective in describing structural fragments that are sequential in nature, such as $\\alpha$-helices and loops, the radius-based approach can capture long-range structural contacts as seen in $\\beta$-sheets, as well as distinct interaction patterns in space, as found in enzyme active sites.\n", "\n", "* KMER - each residue is taken as the center of a kmer of length `split_size`, ends are included but shorter\n", "* RADIUS - overlapping spheres of radius `split_size`\n", "\n", "Moment invariants can be calculated using the `from_structure_file` constructor function of the `geometricus.MultipleMomentInvariants` class - this also allows simply giving the PDB ID and chain as input. Generally more useful is the function `geometricus.get_invariants_for_structures` that does multithreaded moment calculation for list of input structure files or PDB IDs.\n", "\n", "The `resolution` parameter describes how fine or coarse grained the resultant shape-mers are. This number is multiplied to each moment invariant value after which these values are rounded to the nearest integer." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from geometricus import get_invariants_for_structures, Geometricus, SplitInfo, SplitType\n", "import numpy as np\n", "\n", "invariants, _ = get_invariants_for_structures(X_names, n_threads=4,\n", " split_infos=[SplitInfo(SplitType.KMER, 8)],\n", " moment_types=[\"O_3\", \"O_4\", \"O_5\", \"F\"])\n", "start_time = time()\n", "kmer_shapemer_class = Geometricus.from_invariants(invariants, protein_keys=X_names, resolution=1.)\n", "print(f\"Generated kmer shapemers in {(time() - start_time):.2f} seconds\")\n", "invariants, _ = get_invariants_for_structures(X_names, n_threads=4,\n", " split_infos=[SplitInfo(SplitType.RADIUS, 5)],\n", " moment_types=[\"O_3\", \"O_4\", \"O_5\", \"F\"])\n", "radius_shapemer_class = Geometricus.from_invariants(invariants, protein_keys=X_names, resolution=1.)\n", "print(f\"Generated radius shapemers in {(time() - start_time):.2f} seconds\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "Shapemers can also be generated using the trained `ShapemerLearn` model present in this repository. This uses four different fragmentation techniques: (RADIUS, 5), (RADIUS, 10), (KMER, 8), and (KMER, 16) and all MomentTypes, and has been trained to generate 1024 unique shape-mers.\n", "\n", "The previous code can be modified to use the `ShapemerLearn` model as follows:\n", "\n", "```python\n", "from geometricus import get_invariants_for_structures, Geometricus, ShapemerLearn\n", "invariants, errors = get_invariants_for_structures(X_names, n_threads=4)\n", "model = ShapemerLearn.load()\n", "shapemer_class = Geometricus.from_invariants(invariants, model=model, protein_keys=X_names)\n", "```" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can simply count how many times each shapemer appears to get a representation for each protein" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(527, 495)" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "shapemer_count_matrix = np.vstack((kmer_shapemer_class.get_count_matrix(), radius_shapemer_class.get_count_matrix()))\n", "shapemer_count_matrix.shape" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import umap\n", "\n", "reducer = umap.UMAP(metric=\"cosine\", n_components=2)\n", "reduced = reducer.fit_transform(shapemer_count_matrix)\n", "\n", "class_names = [\"JNK\", \"Erk\", \"p38\"]\n", "colors = [\"red\", \"green\", \"blue\"]\n", "plt.figure(figsize=(10, 10))\n", "for i in range(3):\n", " indices = np.where(np.array(y) == i)[0]\n", " plt.scatter(reduced[indices, 0],\n", " reduced[indices, 1],\n", " label=class_names[i], edgecolor=\"black\", linewidth=0.1, alpha=0.8)\n", "plt.axis(\"off\")\n", "plt.legend();" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Embedding for Supervised Learning\n", "Supervised learning, be it classification or regression, requires some form of training and test set separation.\n", "\n", "Below, the shapemers used for count matrix calculation are only those present in the training set." ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "from sklearn.model_selection import train_test_split\n", "\n", "X_train_names, X_test_names, y_train, y_test = train_test_split(X_names, y, test_size=0.3)\n", "_, train_shapemers = kmer_shapemer_class.map_protein_to_shapemer_indices(protein_keys=X_train_names)\n", "X_train = kmer_shapemer_class.get_count_matrix(X_train_names, shapemer_keys=train_shapemers)\n", "X_test = kmer_shapemer_class.get_count_matrix(X_test_names, shapemer_keys=train_shapemers)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For this simple problem, a decision tree classifier is more than enough to obtain good accuracy." ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " JNK 0.84 0.90 0.87 30\n", " Erk 1.00 0.81 0.90 43\n", " p38 0.90 0.97 0.93 86\n", "\n", " accuracy 0.91 159\n", " macro avg 0.92 0.89 0.90 159\n", "weighted avg 0.92 0.91 0.91 159\n", "\n" ] } ], "source": [ "from sklearn.tree import DecisionTreeClassifier\n", "from sklearn.metrics import classification_report\n", "\n", "clf = DecisionTreeClassifier(random_state=42, max_depth=3)\n", "clf.fit(X_train, y_train)\n", "y_pred = clf.predict(X_test)\n", "print(classification_report(y_test, y_pred, labels=[0, 1, 2], target_names=class_names))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Finding predictive residues and structural fragments\n", "\n", "Since each shape-mer can be mapped back to the residues it describes, it's easy to use Geometricus to determine predictive or functionally relevant residues and structural regions from a trained predictor (or from loadings generated from a method such as PCA). Such insights can be directly be applied to select candidate residues for mutational studies or used in directed evolution techniques to engineer proteins and enzymes with desired properties.\n", "\n", "By inspecting the decision tree created above, it becomes clear that some shape-mers are present multiple times across a protein and the number of times differs across classes." ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from sklearn.tree import plot_tree\n", "\n", "fig, ax = plt.subplots(1, figsize=(15, 15))\n", "plot_tree(clf, filled=True, ax=ax, feature_names=train_shapemers);" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot(clf.feature_importances_)\n", "predictive_feature_indices = np.argsort(clf.feature_importances_)[::-1][:6]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can map back to the residues described by a shape-mer using the `map_shapemer_to_residues` function which returns a dictionary mapping each protein to the corresponding residue indices of the shape-mer within that protein, if it exists." ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Shape-mer: (0, 1, 0, 1, 0, 1, 1, 0, 1, 0) Number of proteins with shape-mer: 307\n", "\n", "Residue indices per protein (for 10 proteins):\n", "4eh8_A {288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 284, 285, 286, 287}\n", "4eh2_A {288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 285, 286, 287}\n", "4eh7_A {288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 285, 286, 287}\n", "4eh5_A {288, 289, 290, 291, 292, 293, 294, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287}\n", "4dli_A {288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 282, 283, 284, 285, 286, 287}\n", "4eh3_A {288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 287}\n", "4eh6_A {288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 283, 284, 285, 286, 287}\n", "4eh4_A {288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 285, 286, 287}\n", "4eh9_A {288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 282, 283, 284, 285, 286, 287}\n", "4e8a_A {288, 289, 290, 291, 292, 293, 294, 295, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287}\n", "4ehv_A {288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 287}\n" ] } ], "source": [ "shapemer = train_shapemers[predictive_feature_indices[1]]\n", "residue_indices = kmer_shapemer_class.map_shapemer_to_residues(shapemer)\n", "print(\"Shape-mer:\", shapemer, \"Number of proteins with shape-mer:\", len(residue_indices))\n", "print()\n", "print(\"Residue indices per protein (for 10 proteins):\")\n", "for i, key in enumerate(residue_indices):\n", " if i > 10:\n", " break\n", " print(key, residue_indices[key])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "These residue indices can then be visualized on a protein structure using molecule visualization software such as PyMol. Comparing the same location in proteins which don't have this shape-mer can also be informative." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.10.6" } }, "nbformat": 4, "nbformat_minor": 4 }