Journal article
CoPriNet: graph neural networks provide accurate and rapid compound price prediction for molecule prioritisation
- Abstract:
- CoPriNet can predict compound prices after being trained on 6M pairs of compounds and prices collected from the Mcule catalogue.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Access Document
- Files:
-
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(Preview, Version of record, pdf, 1.9MB, Terms of use)
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- Publisher copy:
- 10.1039/d2dd00071g
Authors
- Publisher:
- Royal Society of Chemistry
- Journal:
- Digital Discovery More from this journal
- Volume:
- 2
- Issue:
- 1
- Pages:
- 103-111
- Publication date:
- 2022-11-28
- DOI:
- EISSN:
-
2635-098X
- ISSN:
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2635-098X
- Language:
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English
- Keywords:
- Pubs id:
-
1312437
- Local pid:
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pubs:1312437
- Source identifiers:
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W4311172319
- Deposit date:
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2026-04-30
- ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.
Terms of use
- Copyright date:
- 2022
- Licence:
- CC Attribution (CC BY)
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