Evidence map›Paper›PMID 42724003›Full record

ArticleFrontiers in bioinformatics2026

Assessment of the impact of manual curation in BioCyc.

R Caspi, B Wilson-Mortier, L R Moore, J N Karp, D Beesley, I T Paulsen, P D Karp

Abstract read
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Article in Frontiers in bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

R CaspiKoonkie Inc., Menlo Park, CA, United States.
B Wilson-MortierBiomolecular Discovery Research Centre, Macquarie University, Sydney, NSW, Australia.
L R MooreBioinformatics Research Group, Artificial Intelligence Center, SRI, Menlo Park, CA, United States.
J N KarpWilliams College, Williamstown, MA, United States.
D BeesleyKoonkie Inc., Menlo Park, CA, United States.
I T PaulsenBiomolecular Discovery Research Centre, Macquarie University, Sydney, NSW, Australia.
P D KarpBioinformatics Research Group, Artificial Intelligence Center, SRI, Menlo Park, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: BioCyc is an extensive collection of databases of genomic and pathway information for microorganisms and model eukaryotes. These organismal databases integrate diverse biological data by combining computationally inferred information, data imported from other databases, and, for selected organisms, literature-based manual curation. This study investigates the magnitude and significance of annotation changes performed during the curation of 10 prokaryotic genomes to better understand the rate of erroneous annotations and the value of BioCyc curation. Methods: We identified curation changes by finding cases where the annotation of the protein at the start of the curation process differed from its annotation at the end of the process. Results: We found that across a sample of curated databases ( Discussion: These findings demonstrate a substantial improvement in the accuracy of manually curated BioCyc databases compared with automated annotation pipelines. This result is particularly impactful as the rate of downstream propagation of erroneous annotations across biological databases can significantly compromise scientific discovery.

Indexed as

annotation errorscurationgenome annotationgenome annotation errorsgenome database

Identifiers

PMID42724003
PMCPMC13558213

What OpenQuestion holds

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Registered trials

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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.