{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# DreaMS molecular networking" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Introduction\n", "\n", "DreaMS embeddings can be naturally used for molecular networking. Once the embeddings are computed, their similarity can be used to connect spectra into a k-nearest neighbor (k-NN) graph forming a molecular network. Our [paper](https://chemrxiv.org/engage/chemrxiv/article-details/6626775021291e5d1d61967f) demonstrates that DreaMS spectral similarity outperforms prior methods (e.g., modified cosine similarity, spectral entropy, MS2DeepScore) in terms of the following metrics:\n", "\n", "1. Correlation to chemical similarity of underlying compounds.\n", "\n", "2. Library matching performance (i.e., retrieval of different spectra of the same compound).\n", "\n", "3. Analog search performance (i.e., retrieval of spectra of distinct but structurally similar compounds).\n", "\n", "4. Robustness to low-quality spectra.\n", "\n", "Unlike traditional spectral similarity methods that primarily rely on direct matching of peaks and their intensities, DreaMS similarity is derived from a neural network-based approach. As a result, DreaMS often finds connections between spectra that may not be directly related according to conventional metrics, but are likely to represent structurally similar molecules. This ability to detect additional relationships makes DreaMS particularly powerful for molecular networking applications. Before proceeding to the construction of the molecular network, we will look at the few examples of such spectra." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Import necessary libraries." ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "import networkx as nx\n", "from sklearn.neighbors import kneighbors_graph\n", "from sklearn.metrics.pairwise import cosine_similarity\n", "from tqdm import tqdm\n", "from pathlib import Path\n", "import dreams.utils.spectra as su\n", "import dreams.utils.data as du\n", "from dreams.api import dreams_embeddings\n", "from dreams.definitions import *" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Load example dataset downloaded from [MSV000086206](https://massive.ucsd.edu/ProteoSAFe/dataset.jsp?task=11fbd0d4c9144a6c813b196d865567ab)." ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(3809, 1024)" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "in_pth = Path('../data/S_N1.mzML')\n", "msdata = du.MSData.load(in_pth)\n", "embs = dreams_embeddings(msdata)\n", "embs.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Identify pairs of spectra with high DreaMS similarity but low modified cosine similarity, which are typically not connected in a standard molecular networking." ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1137 1165\n", "DreaMS similarity: 0.9109248\n", "Modified cosine similarity: 0.5023494505951352\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "2358 2840\n", "DreaMS similarity: 0.8620262\n", "Modified cosine similarity: 0.6811504415010509\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "1484 1979\n", "DreaMS similarity: 0.88867676\n", "Modified cosine similarity: 0.6725187688330744\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "2375 2584\n", "DreaMS similarity: 0.9429935\n", "Modified cosine similarity: 0.549318478822847\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "2691 2797\n", "DreaMS similarity: 0.9129119\n", "Modified cosine similarity: 0.6463478109508536\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "2330 2445\n", "DreaMS similarity: 0.9423888\n", "Modified cosine similarity: 0.6216880411880263\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "1631 3082\n", "DreaMS similarity: 0.87816286\n", "Modified cosine similarity: 0.6838237576062526\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Find all pairs with DreaMS similarity > 0.85\n", "sims = cosine_similarity(embs)\n", "x, y = np.where(sims > 0.85)\n", "\n", "# Define modified cosine similarity function\n", "cos_sim = su.PeakListModifiedCosine(mz_tolerance=0.05)\n", "\n", "# Iterate over all pairs in random order and show 7 pairs\n", "max_pairs, i_pairs = 7, 1\n", "for i, (i1, i2) in enumerate(pd.Series(zip(x, y)).sample(frac=1, random_state=1)):\n", "\n", " # Do not show same pairs in different order twice\n", " if i1 > i2:\n", " continue\n", "\n", " # Skip spectra with less than 5 peaks\n", " if (msdata[SPECTRUM][i1][0] > 0).sum() < 5:\n", " continue\n", "\n", " # Compute modified cosine similarity\n", " spec1, spec2 = msdata[SPECTRUM][i1], msdata[SPECTRUM][i2]\n", " prec_mz1, prec_mz2 = msdata[PRECURSOR_MZ][i1], msdata[PRECURSOR_MZ][i2]\n", " cos_sim_i1_i2 = cos_sim(spec1=spec1, prec_mz1=prec_mz1, spec2=spec2, prec_mz2=prec_mz2)\n", "\n", " # Skip pairs with high modified cosine similarity\n", " if cos_sim_i1_i2 > 0.7:\n", " continue\n", "\n", " # Print information about the pair\n", " print(i1, i2)\n", " print('DreaMS similarity:', sims[i1, i2])\n", " print('Modified cosine similarity:', cos_sim_i1_i2)\n", " su.plot_spectrum(spec=spec1, prec_mz=prec_mz1, mirror_spec=spec2, mirror_prec_mz=prec_mz2)\n", "\n", " # Show max 7 pairs\n", " if i_pairs == max_pairs:\n", " break\n", " i_pairs += 1" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Construct molecular network\n", "\n", "Now, let's look at how to construct a molecular network from the DreaMS embeddings. We will use the `kneighbors_graph` function from `sklearn` to construct a k-nearest neighbor (k-NN) graph." ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [], "source": [ "k = 3 # Number of nearest neighbors\n", "thld = 0.7 # DreaMS similarity threshold\n", "\n", "# Build k-NN graph from DreaMS embeddings\n", "A = kneighbors_graph(embs, k, mode='distance', metric='cosine', include_self=False)\n", "A = A.toarray()\n", "\n", "# Threshold the graph and invert the cosine distances to similarities\n", "for i in range(A.shape[0]):\n", " for j in range(A.shape[1]):\n", " if A[i, j] != 0:\n", " A[i, j] = 1 - A[i, j]\n", " if A[i, j] < thld:\n", " A[i, j] = 0\n", "\n", "# Initialize a networkx graph from the adjacency matrix\n", "G = nx.from_numpy_array(A)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Populate the network with node and edge metadata\n", "\n", "Let's add node and edge attributes to the network. Node attributes include spectrum metadata (e.g., precursor m/z, retention time, etc.), while edge attributes store similarities between spectra." ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 3809/3809 [00:03<00:00, 1092.04it/s]\n", "100%|██████████| 6858/6858 [02:20<00:00, 48.84it/s]\n" ] } ], "source": [ "# Add node attributes (e.g., precursor m/z, retention time, etc.)\n", "for i in tqdm(G.nodes(), desc='Adding node attributes'):\n", " for key, value in msdata.at(i, plot_spec=False).items():\n", " G.nodes[i][key] = value\n", "\n", "# Add edge attributes\n", "for u, v in tqdm(G.edges(), desc='Adding edge attributes'):\n", "\n", " # Add modified cosine similarity for comparison\n", " G[u][v]['modified_cosine_similarity'] = cos_sim(\n", " spec1=msdata[SPECTRUM][u],\n", " prec_mz1=msdata[PRECURSOR_MZ][u],\n", " spec2=msdata[SPECTRUM][v],\n", " prec_mz2=msdata[PRECURSOR_MZ][v]\n", " )\n", "\n", " # Rename weight to DreaMS_similarity\n", " G[u][v]['DreaMS_similarity'] = G[u][v]['weight']\n", " del G[u][v]['weight']" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Export to Cytoscape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The resulting network can be exported to [Cytoscape](https://cytoscape.org/) for visualization." ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [], "source": [ "nx.write_graphml(G, in_pth.with_suffix('.graphml'))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![Molecular Network in Cytoscape](https://github.com/pluskal-lab/DreaMS/blob/main/assets/molecular_network_cytoscape.png?raw=true)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Tips and tricks\n", "\n", "The resultntant molecular network can be optimized by adjusting the two main parameters:\n", "\n", "- Adjusting the 'k' parameter: This controls the number of nearest neighbors considered for each spectrum. A higher k value will result in a denser network, while a lower k will create a sparser network with fewer connections and more disjoint clusters.\n", "\n", "- Tuning the similarity threshold ('thld'): This parameter determines the minimum DreaMSsimilarity required for an edge to be included in the network. Increasing the threshold will result in a more stringent network with only highly similar spectra connected.\n", "\n", "Future enhancements:\n", "\n", "- Upcoming versions of this tutorial will incorporate library matching functionality (which is described in [the previous tutorial](https://dreams-docs.readthedocs.io/en/latest/tutorials/library_matching.html)), allowing you to compare your spectra against known compound libraries for improved annotation and identification." ] } ], "metadata": { "kernelspec": { "display_name": "dreams", "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": "3.11.0" } }, "nbformat": 4, "nbformat_minor": 2 }