{
  "source": "ORD Dataset Wishlist",
  "snapshot_date": "2026-09-25",
  "ord_wishlist_status_at_snapshot": "Available",
  "ord_wishlist_card": "https://github.com/orgs/open-reaction-database/projects/11?pane=issue&itemId=126570040",
  "ord_data_issue": null,
  "title": "Advancing Base-Metal Catalysis: Development of a Screening Method for Nickel-Catalyzed Suzuki–Miyaura Reactions of Pharmaceutically Relevant Heterocycles",
  "doi": "10.1021/acs.oprd.1c00210",
  "journal": "OPRD",
  "publication_date": "2021-07-28",
  "authors": [
    "Matthew J. Goldfogel",
    "Xuelei Guo",
    "Jeishla L. M. Matos",
    "John A. Gurak",
    "Matthew V. Joannou",
    "William B. Moffat",
    "Eric M. Simmons",
    "Steven R. Wisniewski"
  ],
  "article_open_access": {
    "status": "closed",
    "license": null
  },
  "dataset_size_estimate": 1500,
  "experiment_type": "MTE but lots of them",
  "ord_priority": "High",
  "ord_difficulty": "Hard",
  "source_data_kind": "si_pdf_tables",
  "smiles_in_source": "no",
  "needs_author_contact": true,
  "data_locations": [
    {
      "url": "https://doi.org/10.1021/acs.oprd.1c00210",
      "what": "OPRD article; the SI PDF has spreadsheet snapshots of the reaction data",
      "license": "ACS publisher license (closed)"
    }
  ],
  "notes": "Source: Org. Process Res. Dev. 10.1021/acs.oprd.1c00210 (Bristol-Myers Squibb). Screening method for Ni-catalysed Suzuki-Miyaura couplings of pharmaceutically relevant heterocycles: many medium-throughput screens, about 1500 reactions in total. The SI PDF shows spreadsheet snapshots of the reaction data. The underlying spreadsheets are held by the originating company and span about 15 sheets, which may need modified ORD templates, and compounds will need SMILES generation. ORD is already coordinating curation of this paper with the company.",
  "verification_caveats": "The data are many separate medium-throughput screens across about 15 sheets with different layouts. The SI PDF has only images or snapshots of spreadsheets. There are no SMILES. The data are large (about 1500 reactions), so reviewers will need to spot-check."
}