Author

Christian Ebeling

Fraunhofer Institute for Algorithms and Scientific ComputingORCID 0000-0002-7560-6846Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3 Microbiology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 3 Approach:statistical model· 3 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Bruce T. SchultziD· 3 shared Daniel Domingo‐FernándéziD· 3 shared Martin Hofmann‐ApitiusiD· 3 shared Tamara RaschkaiD· 3 shared Alpha Tom KodamulliliD· 2 shared Holger FröhlichiD· 2 shared Reagon KarkiiD· 2 shared Shounak BaksiiD· 2 shared

Activity by Year

2019-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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3 shared papersBioinformatics

Bruce T. SchultzORCID

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Author profile →

5 papers

Recent·Most cited

The StrainDiscoveryDatabase: an open framework for standardized microbial strain data

J. Witte, Artur Lissin, Isabel Schober, Christian Ebeling, Helko Lüken, Julia Koblitz, Andrey M. Yurkov, Boyke Bunk, José López-Coronado, Adrian Vaello, Aurora Zuzuarregui, Rosa Aznar, Agustín García Doñate, Ana M. P. Melo, G.J.M. Verkley, , L.C. Reimer

The paper introduces the StrainDiscoveryDatabase (SDD), a unified microbial strain dataset that resolves data fragmentation and synonymy to support AI-driven bioindustrial applications.

bioRxiv · Sep 10, 2026 · PreprintMicrobiology

AI reveals insights into link between CD33 and cognitive impairment in Alzheimer's Disease

Tamara Raschka, Meemansa Sood, Bruce T. Schultz, Aybuge Altay, Christian Ebeling, Holger Fröhlich

This paper develops an AI model to simulate CD33 down-expression effects on cognitive impairment in Alzheimer's Disease, validated with cell line data.

PLoS Computational Biology · Feb 13, 2023Peer-reviewedSystems Biology

The COVID-19 PHARMACOME: A method for the rational selection of drug repurposing candidates from multimodal knowledge harmonization

Bruce T. Schultz, Andrea Zaliani, Christian Ebeling, Jeanette Reinshagen, Denisa Bojková, Vanessa Lage‐Rupprecht, Reagon Karki, Soeren Lukassen, Yojana Gadiya, Neal G. Ravindra, Sayoni Das, Shounak Baksi, Daniel Domingo‐Fernándéz, Manuel Lentzen, Mark A. Strivens, , Martin Hofmann‐Apitius

The paper presents a drug-target-mechanism graph to identify synergistic drug combinations for SARS-CoV-2 treatment, validated through experimental testing.

bioRxiv · Sep 23, 2020 · PreprintBioinformatics

COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology

Daniel Domingo‐Fernándéz, Shounak Baksi, Bruce T. Schultz, Yojana Gadiya, Reagon Karki, Tamara Raschka, Christian Ebeling, Martin Hofmann‐Apitius, Alpha Tom Kodamullil

The paper constructs a cause-and-effect knowledge graph of COVID-19 pathophysiology from scientific literature and provides it as a public resource.

Bioinformatics · Sep 11, 2020Peer-reviewedBioinformatics

Integration of Structured Biological Data Sources using Biological Expression Language

Charles Tapley Hoyt, Daniel Domingo‐Fernándéz, Sarah Mubeen, Josep Marín-Llaó, Andrej Konotopez, Christian Ebeling, Colin J. Birkenbihl, Özlem Muslu, Bradley W. English, Simon Müller, Mauricio Lacerda, Mehdi Ali, Scott Colby, Dénes Türei, Nicolàs Palacio‐Escat, Martin Hofmann‐Apitius

The paper introduces Bio2BEL, a set of Python packages that convert multi-modal biological data into Biological Expression Language for integration and analysis.

bioRxiv · May 8, 2019 · PreprintBioinformatics