dorsal/arxiv
View SchemaThe Orchestral Analog of Molecular Biology
| Authors | Stan Bumble |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0405020 |
| URL | https://arxiv.org/abs/q-bio/0405020 |
Abstract
Signal processing (SP) techniques convert DNA and protein sequences into information that lead to successful drug discovery. One must, however, be aware about the difference between information and entropy1. Eight other physical properties of DNA and protein segments are suggested for SP analysis other than ones already used in the literature. QSAR formulations of these properties are suggested for ranking the amino acids that maximize efficiency of the amino acids in proteins. Multiobjective programs are suggested for constraining or searching the components of such sequences. Geometric maps of the networks of proteins are preferable to scale-free descriptions in most cases. The genetic code is presented as graphlets which show interesting correspondence to each other, leading to possible new revelations.
{
"annotation_id": "ee5b78e4-b1dd-4195-a0c3-f53099875467",
"date_created": "2026-03-02T18:01:31.023000Z",
"date_modified": "2026-03-02T18:01:31.023000Z",
"file_hash": "07f2037f124240da8eda006f9bc3f1b937b048efe788e5e984862e4f907a8d18",
"private": false,
"record": {
"abstract": "Signal processing (SP) techniques convert DNA and protein sequences into\ninformation that lead to successful drug discovery. One must, however, be aware\nabout the difference between information and entropy1. Eight other physical\nproperties of DNA and protein segments are suggested for SP analysis other than\nones already used in the literature. QSAR formulations of these properties are\nsuggested for ranking the amino acids that maximize efficiency of the amino\nacids in proteins. Multiobjective programs are suggested for constraining or\nsearching the components of such sequences. Geometric maps of the networks of\nproteins are preferable to scale-free descriptions in most cases. The genetic\ncode is presented as graphlets which show interesting correspondence to each\nother, leading to possible new revelations.",
"arxiv_id": "q-bio/0405020",
"authors": [
"Stan Bumble"
],
"categories": [
"q-bio.MN"
],
"title": "The Orchestral Analog of Molecular Biology",
"url": "https://arxiv.org/abs/q-bio/0405020"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "c117fd15-e20d-4b5a-9934-a56678220655",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
},
"user_id": 1000002
}