Row 35865
Content Data
This page contains data entry 35865 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
What they’re saying is incorrect (at face value). Chromatography cannot separate a protein that differs by one atom at the scales of purification that are needed in bioprocess. Furthermore, most biologics (proteins) are already made using biological hosts (yeast, bacteria, CHO cells).
Protein fidelity is not at the amino acid level in cells let alone atomic level. There is no basis for this. There are general heuristics cells use to correct for errors but not on such a fine grained level.
With nucleic acids maybe you could argue that we even have the sensitivity to detect such small changes in purity but with proteins it is not the case. Protein sequencing is not reliably quantitative at the magnitudes needed to even make these assertions.
Identity purity is largely determined by techniques that do not have the sensitivity as stated above. Purity in terms of contamination can reach very high sensitivity in contrast (host RNA/DNA contamination for example).
| Field | Value |
|---|---|
| text | What they’re saying is incorrect (at face value). Chromatography cannot separate a protein that differs by one atom at the scales of purification that are needed in bioprocess. Furthermore, most biologics (proteins) are already made using biological hosts (yeast, bacteria, CHO cells). Protein fidelity is not at the amino acid level in cells let alone atomic level. There is no basis for this. There are general heuristics cells use to correct for errors but not on such a fine grained level. With… |
| label | r/machinelearning |
| dataType | comment |
| communityName | r/MachineLearning |
| datetime | 2024-05-21 |
| username_encoded | Z0FBQUFBQm5Lak1KdGw5VHlZejJrQnpqTThWcGJnT204TlhyN0wxWDdNWUc3YnhNWU5CajRGLVIwYmV6QzRxV0doalI5Skt0VTVaTl9aY2NiRW9nTDA1ZTQ1cW9iUkNVTXc9PQ== |
| url_encoded | Z0FBQUFBQm5Lak9ZZk9pdkROWVBvdmJ2N0RvSklreTFVU19iTnhXNEJLeGVUaWRwQk1TeTktWXRGNDlJcnFiVXNTVjI4eHlDOXU5Nkh6RkFjY1FOTEcweGVPZVhMT3RtenV1cXFrOUJLYjEtODA0UXFTNW1sTmNCeV9kQnBiWVVoYXRkUVJwYUNXWF9pUG1vY0NTWmxBUjZYTFB6UzI1UGNQdGNxNVh6VzMxNEJWUWlmUElpMUtkZ3Fvbjd4RXBBTTNmRFN0amNMb2NvVldwZEhacHJVeHJ6a3Vnc3dsNTBZbWJ6YUhQRDljNHFHeXFUTVlrSDBkaz0= |
Raw Record
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"text": "What they’re saying is incorrect (at face value). Chromatography cannot separate a protein that differs by one atom at the scales of purification that are needed in bioprocess. Furthermore, most biologics (proteins) are already made using biological hosts (yeast, bacteria, CHO cells).\n\nProtein fidelity is not at the amino acid level in cells let alone atomic level. There is no basis for this. There are general heuristics cells use to correct for errors but not on such a fine grained level.\n\nWith nucleic acids maybe you could argue that we even have the sensitivity to detect such small changes in purity but with proteins it is not the case. Protein sequencing is not reliably quantitative at the magnitudes needed to even make these assertions.\n\nIdentity purity is largely determined by techniques that do not have the sensitivity as stated above. Purity in terms of contamination can reach very high sensitivity in contrast (host RNA/DNA contamination for example).",
"label": "r/machinelearning",
"dataType": "comment",
"communityName": "r/MachineLearning",
"datetime": "2024-05-21",
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}
Entry Information
- Entry ID: 35865
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000