Commit: Reaction classification and yield prediction using the differential reaction fingerprint DRFP

In “Reaction classification and yield prediction using the differential reaction fingerprint DRFP”, we introduce a reaction fingerprint, which sets the state-of-the-art in predicting the yield of reactions sourced from electronic lab notebooks.

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Publication Details

Journal
Digital Discovery
Published
2025-01-01
DOI
https://doi.org/10.1039/d5dd00089k
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Commit: Reaction classification and yield prediction using the differential reaction fingerprint DRFP

Daniel Probst
Digital Discovery
Computational Drug Discovery Methods
article

Commit: Reaction classification and yield prediction using the differential reaction fingerprint DRFP

Daniel Probst
article en

Abstract

In “Reaction classification and yield prediction using the differential reaction fingerprint DRFP”, we introduce a reaction fingerprint, which sets the state-of-the-art in predicting the yield of reactions sourced from electronic lab notebooks.

Digital DiscoveryVol. 4(8)
Wageningen University & Research (NL)
Openalex Percentile: Top 83%
Computational Drug Discovery Methods
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Commit: Reaction classification and yield prediction using the differential reaction fingerprint DRFP — Daniel Probst · Digital Discovery (2025) | TGRS Research Map | TGRS