ArticleACS synthetic biology2026
CBR-db: A Cheminformatic Database for Biochemical Reaction Analysis.
Article in ACS synthetic biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- CBR-db: A Cheminformatic Database for Biochemical Reaction Analysis.ACS synthetic biology · 2026Article
- Potential metabolic viability on asteroid chemistry.Communications chemistry · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present CBR-db, a database with detailed chemical properties data for biochemical compounds and reactions. We provide the first chemically consistent analyses and detailed chemical property data for a biologically relevant set of 148,673 reactions and 18,716 small molecules derived from the Kyoto Encyclopedia of Genes and Genomes (KEGG) and the ATLAS of Biochemistry. CBR-db provides detailed atom tracking, reaction similarity classification, compound properties, chiral centers, molecular assembly indices, and thermodynamic properties. CBR-db is designed to be continuously updated, open-source, and reproducible. This report highlights the cheminformatic data, explains the curation and data set, and highlights the data's utility for researchers working at the intersection of chemical properties and biology. We anticipate a broad range of potential applications for these data, given their position at the intersection of cheminformatics and bioinformatics, including researchers interested in molecular properties and reaction mechanisms found in metabolism, the chemical underpinnings of synthetic biochemical design and engineering, and how the origins and evolution of biochemistry have selected among properties of molecules and reactions within chemical space.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.