Evidence map›Paper›PMID 42230855›Full record

ArticleScientific reports2026

The ROBOKOP v1.0 knowledge graph system for exploring relationships between biomedical entities.

Karamarie Fecho, Evan Morris, Jon-Michael Beasley, E Kathleen Carter, Cheng-Han Chung, Steve Edwards, David Glymph, Daniel Korn, Olawumi Olasunkanmi, Carrie Pasfield and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

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.

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

17 authors.

Karamarie Fecho *Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA. kfecho@copperlineprofessionalsolutions.com.
Evan Morris *Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Jon-Michael BeasleyThe Laboratory for Molecular Modeling, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
E Kathleen CarterRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Cheng-Han ChungRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Steve EdwardsCenter for Informatics, RTI International, Research Triangle Park, NC, 27709, USA.
David GlymphRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Daniel KornDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Olawumi OlasunkanmiDepartment of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Carrie PasfieldRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Michael RamonUNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Joey RichardsonRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Nyssa TuckerThe Laboratory for Molecular Modeling, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
David WilliamsCenter for Informatics, RTI International, Research Triangle Park, NC, 27709, USA.
Weifan ZhengDepartment of Pharmaceutical Sciences & BRITE, North Carolina Central University, Durham, NC, 27701, USA.
Alexander TropshaRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Chris BizonRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA. bizon@renci.org.

Funding

Supporting Biomedical Discovery with the ROBOKOP Graph Knowledgebase.U24ES035214 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Christopher Bizon, Alexander Tropsha · 2022 to 2026
$4.0M
NIEHS NIH HHS U24ES035214
6 · The paper itself

Abstract

ROBOKOP (Reasoning Over Biomedical Objects linked in Knowledge Oriented Pathways) is an open-source, modular, biomedical, knowledge graph (KG)-based system comprised of several key components: the ROBOKOP KG; a user interface (UI); and a variety of supporting resources, including tools and services to support deep exploration of the ROBOKOP KG and each of its underlying knowledge sources. A custom software pipeline termed Operational Routine for the Ingest and Output of Networks (ORION) standardizes, integrates, and harmonizes ROBOKOP's knowledge sources as interoperable KGs by leveraging the community-developed Biolink Model's universal KG schema and upper-level biomedical ontology. A ROBOKOP Graphs interface exposes the ROBOKOP KG and the other interoperable KGs, thus supporting access independent of the UI. All components of ROBOKOP are publicly accessible. Herein, we describe the v1.0 major release of ROBOKOP and highlight its features and functionalities in several application use cases, including a validation use case on asthma gene targets and two user-provided exploratory use cases on cardiotoxicity related to exposure to brominated flame retardants and diabetes mellitus related to exposure to agricultural pesticides.

Indexed as

SoftwareAsthmaBiological OntologiesComputer GraphicsHumansUser-Computer InterfaceApplication programming interfaceBiomedical discoveryKnowledge graphReasoning algorithmUser interface

Identifiers

PMID42230855
PMCPMC13237073

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.