Evidence map›Paper›PMID 34824199›Full record

ArticleNature communications2021

Network medicine for disease module identification and drug repurposing with the NeDRex platform.

Sepideh Sadegh, James Skelton, Elisa Anastasi, Judith Bernett, David B Blumenthal, Gihanna Galindez, Marisol Salgado-Albarrán, Olga Lazareva, Keith Flanagan, Simon Cockell and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 1 pooled it
–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

75 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  20. From AI-AssistedPharmaceuticals (Basel, Switzerland) · 2025
    Review

15 more citing papers are in PubMed but not listed here.

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

16 authors.

Sepideh Sadegh *Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany. sadegh@wzw.tum.de.ORCID http://orcid.org/0000-0003-4851-8848
James Skelton *School of Computing, Newcastle University, Newcastle upon Tyne, UK.
Elisa AnastasiSchool of Computing, Newcastle University, Newcastle upon Tyne, UK.
Judith BernettChair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0001-5812-8013
David B BlumenthalDepartment Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0000-0001-8651-750X
Gihanna GalindezDivision Data Science in Biomedicine, Peter L. Reichertz Institute for Medical Informatics of Technische Universität Braunschweig and Hannover Medical School, Braunschweig, Germany.
Marisol Salgado-AlbarránChair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany.
Olga LazarevaChair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany.
Keith FlanaganSchool of Computing, Newcastle University, Newcastle upon Tyne, UK.
Simon CockellSchool of Biomedical, Nutrition and Sports Sciences, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Cristian NogalesDepartment of Pharmacology and Personalised Medicine, School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, the Netherlands.
Ana I CasasDepartment of Pharmacology and Personalised Medicine, School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, the Netherlands.
Harald H H W SchmidtDepartment of Pharmacology and Personalised Medicine, School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, the Netherlands.ORCID http://orcid.org/0000-0003-0419-5549
Jan BaumbachChair of Computational Systems Biology, University of Hamburg, Hamburg, Germany.ORCID http://orcid.org/0000-0002-0282-0462
Anil WipatSchool of Computing, Newcastle University, Newcastle upon Tyne, UK.
Tim KacprowskiDivision Data Science in Biomedicine, Peter L. Reichertz Institute for Medical Informatics of Technische Universität Braunschweig and Hannover Medical School, Braunschweig, Germany.ORCID http://orcid.org/0000-0002-5393-2413

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional drug discovery faces a severe efficacy crisis. Repurposing of registered drugs provides an alternative with lower costs and faster drug development timelines. However, the data necessary for the identification of disease modules, i.e. pathways and sub-networks describing the mechanisms of complex diseases which contain potential drug targets, are scattered across independent databases. Moreover, existing studies are limited to predictions for specific diseases or non-translational algorithmic approaches. There is an unmet need for adaptable tools allowing biomedical researchers to employ network-based drug repurposing approaches for their individual use cases. We close this gap with NeDRex, an integrative and interactive platform for network-based drug repurposing and disease module discovery. NeDRex integrates ten different data sources covering genes, drugs, drug targets, disease annotations, and their relationships. NeDRex allows for constructing heterogeneous biological networks, mining them for disease modules, prioritizing drugs targeting disease mechanisms, and statistical validation. We demonstrate the utility of NeDRex in five specific use-cases.

Indexed as

Databases, FactualAlgorithmsComputational BiologyDiseaseDrug RepositioningHumansKnowledge BasesWorkflow

Identifiers

PMID34824199
PMCPMC8617287

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.