Evidence map›Paper›PMID 41251164›Full record

ArticleNucleic acids research2026

OmniPath: integrated knowledgebase for multi-omics analysis.

Dénes Türei, Jonathan Schaul, Nicolàs Palacio-Escat, Balázs Bohár, Yunfan Bai, Francesco Ceccarelli, Elif Çevrim, Macabe Daley, Melih Darcan, Daniel Dimitrov and 22 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Searching the druggable genome using large language models.Bioinformatics (Oxford, England) · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Searching the Druggable Genome using Large Language Models.bioRxiv : the preprint server for biology · 2026
    Article
  11. Article
  12. Article
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

32 authors.

Dénes TüreiHeidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg 69120, Germany.ORCID 0000-0002-7249-9379
Jonathan SchaulHeidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg 69120, Germany.ORCID 0009-0000-2718-0636
Nicolàs Palacio-EscatHeidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg 69120, Germany.ORCID 0000-0002-7022-1437
Balázs BohárImperial College London, Faculty of Medicine, Department of Metabolism, Digestion and Reproduction, London W12 0NN, United Kingdom.ORCID 0000-0002-3033-5448
Yunfan BaiHeidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg 69120, Germany.ORCID 0000-0003-0479-2108
Francesco CeccarelliDepartment of Computer Science and Technology, University of Cambridge, Cambridge CB3 0FD, United Kingdom.ORCID 0000-0002-5995-5077
Elif ÇevrimBiological Data Science Lab, Dept. of Computer Engineering, Hacettepe University, Ankara 06800, Turkey.ORCID 0000-0001-7797-8080
Macabe DaleyHeidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg 69120, Germany.ORCID 0000-0002-8026-7068
Melih DarcanBiological Data Science Lab, Dept. of Computer Engineering, Hacettepe University, Ankara 06800, Turkey.ORCID 0009-0002-7620-6286
Daniel DimitrovHeidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg 69120, Germany.ORCID 0000-0002-5197-2112
Tunca DoğanBiological Data Science Lab, Dept. of Computer Engineering, Hacettepe University, Ankara 06800, Turkey.ORCID 0000-0002-1298-9763
Daniel Domingo-FernándezFraunhofer Institute for Algorithms and Scientific Computing Schloss Birlinghoven 53757, Germany.ORCID 0000-0002-2046-6145
Aurelien DugourdEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton CB10 1SD, United Kingdom.ORCID 0000-0002-0714-028X
Attila GáborHeidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg 69120, Germany.ORCID 0000-0002-0776-1182
Lejla GulImperial College London, Faculty of Medicine, Department of Metabolism, Digestion and Reproduction, London W12 0NN, United Kingdom.ORCID 0000-0001-9972-9149
Benjamin A HallDepartment of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, United Kingdom.ORCID 0000-0003-0355-2946
Charles Tapley HoytRWTH Aachen University, Institute of Inorganic Chemistry, Aachen 52064Germany.ORCID 0000-0003-4423-4370
Olga IvanovaHeidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg 69120, Germany.ORCID 0000-0002-9111-4593
Michal KleinApple Inc. Work done while at Institute of Computational Biology, Helmholtz Center Munich, Neuherberg 85764, Germany.ORCID 0000-0002-2433-6380
Toby LawrenceImperial College London, Faculty of Medicine, Department of Metabolism, Digestion and Reproduction, London W12 0NN, United Kingdom.ORCID 0009-0000-9576-0376
Diego MañanesHeidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg 69120, Germany.ORCID 0000-0001-7247-6794
Dezső MódosImperial College London, Faculty of Medicine, Department of Metabolism, Digestion and Reproduction, London W12 0NN, United Kingdom.ORCID 0000-0001-9412-6867
Sophia Müller-DottHeidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg 69120, Germany.ORCID 0000-0002-9710-1865
Márton ÖlbeiImperial College London, Faculty of Medicine, Department of Metabolism, Digestion and Reproduction, London W12 0NN, United Kingdom.ORCID 0000-0002-4903-6237
Christina SchmidtHeidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg 69120, Germany.ORCID 0000-0002-3867-0881
Bünyamin ŞenBiological Data Science Lab, Dept. of Computer Engineering, Hacettepe University, Ankara 06800, Turkey.ORCID 0000-0002-0853-4731
Fabian J TheisInstitute of Computational Biology, Helmholtz Center Munich, Neuherberg 85764, Germany.ORCID 0000-0002-2419-1943
Atabey ÜnlüBiological Data Science Lab, Dept. of Computer Engineering, Hacettepe University, Ankara 06800, Turkey.ORCID 0000-0003-0078-6069
Erva UlusoyBiological Data Science Lab, Dept. of Computer Engineering, Hacettepe University, Ankara 06800, Turkey.ORCID 0000-0002-2643-0362
Alberto ValdeolivasHeidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg 69120, Germany.ORCID 0000-0001-5482-9023
Tamás KorcsmárosImperial College London, Faculty of Medicine, Department of Metabolism, Digestion and Reproduction, London W12 0NN, United Kingdom.ORCID 0000-0003-1717-996X
Julio Saez-RodriguezHeidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg 69120, Germany.ORCID 0000-0002-8552-8976

Funding

European Union's Horizon 2020 965193German Federal Ministry of Research, Technology and Space (BMFTR) 031L0257BGerman Research Foundation DFG-508152189Imperial College LondonImperial College Research FellowshipLandesinstitut für Bioinformatikinfrastruktur in Baden-Württembergropean Bioinformatics Institute (EMBL-EBI)SmartCare 03LW0233KTUBITAK ARDEB 3501 Career Development Program 120E531UKRI BBSRC Institute Strategic Programme Food Microbiome and Health BBS/E/F/000PR13631UKRI BBSRC Institute Strategic Programme Food Microbiome and Health BB/X011054/1
6 · The paper itself

Abstract

Analysis and interpretation of omics data largely benefit from the use of prior knowledge. However, this knowledge is fragmented across resources and often is not directly accessible for analytical methods. We developed OmniPath (https://omnipathdb.org/), a database combining diverse molecular knowledge from 168 resources. It covers causal protein-protein, gene regulatory, microRNA, and enzyme-post-translational modification interactions, cell-cell communication, protein complexes, and information about the function, localization, structure, and many other aspects of biomolecules. It prioritizes literature curated data, and complements it with predictions and large scale databases. To enable interactive browsing of this large corpus of knowledge, we developed OmniPath Explorer, which also includes a large language model agent that has direct access to the database. Python and R/Bioconductor client packages and a Cytoscape plugin create easy access to customized prior knowledge for omics analysis environments, such as scverse. OmniPath can be broadly used for the analysis of bulk, single-cell, and spatial multi-omics data, especially for mechanistic and causal modeling.

Indexed as

Computational BiologyDatabases, GeneticGenomicsKnowledge BasesSoftwareHumansInternetMicroRNAsMultiomicsProtein Processing, Post-TranslationalProteinsMicroRNAsProteins

Identifiers

PMID41251164
PMCPMC12807778

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.