{
  "id": 667519,
  "title": "Use this extended training dataset using GraphQL!",
  "url": "/competitions/stanford-rna-3d-folding-2/discussion/667519",
  "author_name": "Roma Nagle",
  "post_date": "2026-01-13T00:18:55.091000",
  "votes": 5,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Hi everyone!</p>\n<p>Based on the part 1 competition, TBM seems to be a clear front-runner approach. From the <a href=\"https://www.biorxiv.org/content/10.64898/2025.12.30.696949v1\" target=\"_blank\">summary paper</a> released a few weeks ago, I was particularly intrigued by this line:</p>\n<p>\"The similarity of the target and template molecules’ functions…hints that further improvement in template search may come from automated integration of functional annotations and scientific publication.\"</p>\n<p>Using GraphQL, I decided to extract experimental method, organism/taxonomic, and publication metadata for each RNA-containing PDB entry. Check it out here, and let me know if any cool uses come out of it! Will definitely be expanding on this soon: <a href=\"https://www.kaggle.com/code/romanagle/rna3d-dataset-extended\" target=\"_blank\">https://www.kaggle.com/code/romanagle/rna3d-dataset-extended</a></p>",
  "messages": [
    {
      "id": 3390323,
      "postDate": "2026-01-13T00:18:55.090Z",
      "content": "<p>Hi everyone!</p>\n<p>Based on the part 1 competition, TBM seems to be a clear front-runner approach. From the <a href=\"https://www.biorxiv.org/content/10.64898/2025.12.30.696949v1\" target=\"_blank\">summary paper</a> released a few weeks ago, I was particularly intrigued by this line:</p>\n<p>\"The similarity of the target and template molecules’ functions…hints that further improvement in template search may come from automated integration of functional annotations and scientific publication.\"</p>\n<p>Using GraphQL, I decided to extract experimental method, organism/taxonomic, and publication metadata for each RNA-containing PDB entry. Check it out here, and let me know if any cool uses come out of it! Will definitely be expanding on this soon: <a href=\"https://www.kaggle.com/code/romanagle/rna3d-dataset-extended\" target=\"_blank\">https://www.kaggle.com/code/romanagle/rna3d-dataset-extended</a></p>",
      "rawMarkdown": "Hi everyone!\n\nBased on the part 1 competition, TBM seems to be a clear front-runner approach. From the [summary paper](https://www.biorxiv.org/content/10.64898/2025.12.30.696949v1) released a few weeks ago, I was particularly intrigued by this line:\n\n\"The similarity of the target and template molecules’ functions...hints that further improvement in template search may come from automated integration of functional annotations and scientific publication.\"\n\nUsing GraphQL, I decided to extract experimental method, organism/taxonomic, and publication metadata for each RNA-containing PDB entry. Check it out here, and let me know if any cool uses come out of it! Will definitely be expanding on this soon: https://www.kaggle.com/code/romanagle/rna3d-dataset-extended",
      "votes": 5
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "3390323": "Hi everyone!\n\nBased on the part 1 competition, TBM seems to be a clear front-runner approach. From the [summary paper](https://www.biorxiv.org/content/10.64898/2025.12.30.696949v1) released a few weeks ago, I was particularly intrigued by this line:\n\n\"The similarity of the target and template molecules’ functions...hints that further improvement in template search may come from automated integration of functional annotations and scientific publication.\"\n\nUsing GraphQL, I decided to extract experimental method, organism/taxonomic, and publication metadata for each RNA-containing PDB entry. Check it out here, and let me know if any cool uses come out of it! Will definitely be expanding on this soon: https://www.kaggle.com/code/romanagle/rna3d-dataset-extended"
  }
}