{
  "annotation_id": "e6b617d6-fb44-4fea-98bf-22257b8ae369",
  "date_created": "2026-03-02T18:01:25.183000Z",
  "date_modified": "2026-03-02T18:01:25.183000Z",
  "file_hash": "de33b3da7b0949711c3fea59c0201e622bc2b1a0f60d92fb4d4b39f7b0f78c1d",
  "private": false,
  "record": {
    "abstract": "A method is described where the aminoacyl-tRNA synthetase system is used to\ncreate very small devices for quantitative analysis of the amino acids that\noccur in proteins. The basis of the method is that each of the 20 synthetases\nand/or a tRNA specific for a different amino acid is separated spatially (e.g.\nin tiny chambers or on a surface). The reactions catalyzed by all 20\nsynthetases are monitored in a spatially resolved manner. Each separately\npositioned synthetase or tRNA will signal its cognate amino acid. The\nsynthetase reactions can be monitored using continuous spectroscopic assays.\nAlternatively, since elongation factor Tu;GTP (EF-Tu;GTP) specifically binds\nall AA-tRNAs, the aminoacylation reactions catalyzed by the synthetases can be\nmonitored using ligand assays. Microarrays for amino acid analysis are\nsuggested. Additionally, it is possible that amino acid analysis arrays can be\nintegrated with aminopeptidase or carboxypeptidase digestions to produce\nminiaturized enzymatic sequenators capable of generating either N- or\nC-terminal sequence data at femtomole-attomole levels. The possibility of\nparallel processing of many samples in an automated manner is discussed.",
    "arxiv_id": "physics/9908021",
    "authors": [
      "Edward Shipwash"
    ],
    "categories": [
      "physics.bio-ph",
      "q-bio"
    ],
    "title": "Microarrays for Amino Acid Analysis and Protein Sequencing",
    "url": "https://arxiv.org/abs/physics/9908021"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "e462be3a-91a6-483c-97bb-fc0f8b8ed96a",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}