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Everything about Molecule mining

Data mining for patterns in molecule data

Molecule mining is the process of data mining, or extracting and discovering patterns, as applied to molecules. Since molecules may be represented by molecular graphs, this is strongly related to graph mining and structured data mining. The main problem is how to represent molecules while discriminating the data instances. One way to do this is chemical similarity metrics, which has a long tradition in the field of cheminformatics. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Molecule miningA 5-minute orientation
  2. Skim a recent paper: Semisupervised Learning to Boost hERG, Nav1.5, and Cav1.2 Cardiac Ion Channel Toxicity Prediction by Mining a Large Unlabeled Small Molecule Data SetInfluential work since 2022
  3. Pick up a classic book: Mass Spectrometry for Drug Discovery and Drug DevelopmentThe most-reprinted book on the subject
  4. Read the landmark paper: Mining small-molecule screens to repurpose drugsCited 86 times
  5. Go sideways: Chemical similarityA closely related topic
  6. Go sideways: Chemical databaseA closely related topic

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

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