{
  "abstract": "29 Enzyme activity data favor familiar substrates and positive outcomes, creating 30",
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  "affiliations": [
    "State Key Laboratory of Bioreactor Engineering, School of Biotechnology, China University of Science and Technology, 130 Meilong Road, Shanghai, China, 200237",
    "School of Information Science and Engineering, East China University of Science, 130 Meilong Road, Shanghai, China, 200237",
    "Biotechnology Institute, University of Minnesota, 1479 Gortner Avenue, Saint Paul, Minnesota, 55108"
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    {
      "name": "Haoyue Wang",
      "orcid": "0000-0002-0486-5429"
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  "bibtex": "https://research.draconitic.com/paper/f0v5zrcm6rgwc.bib",
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  "doi": "10.26434/chemrxiv.15008807/v1",
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  "pdf_url": "https://chemrxiv.org/doi/pdf/10.26434/chemrxiv.15008807/v1",
  "pmcid": null,
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  "published": "2026-09-14",
  "publisher": "American Chemical Society (ACS)",
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  "subjects": [
    {
      "field": "chemistry",
      "origin": "source:chemrxiv",
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  ],
  "title": "A substrate-first-enzymology deep-learning framework",
  "title_text": "A substrate-first-enzymology deep-learning framework",
  "type": "preprint",
  "updated_at": "2026-10-30T12:17:19Z",
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  "venue": "ChemRxiv",
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}