Author

Lauren Nicole DeLong

Fraunhofer Institute for Algorithms and Scientific ComputingORCID 0000-0001-6618-3370Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Assay:DNA methylation· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:metagenomics· 1 Assay:protein structure· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Andrea ZalianiiD· 2 shared Daniel Domingo‐FernándéziD· 2 shared Holger FröhlichiD· 2 shared Alpha Tom KodamulliliD· 1 shared Ashar AhmadiD· 1 shared Bruce T. SchultziD· 1 shared Carsten ClausseniD· 1 shared Christian EbelingiD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersBioinformatics

Andrea ZalianiORCID

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2 papers

Recent·Most cited

MultiGML: Multimodal Graph Machine Learning for Prediction of Adverse Drug Events

Sophia Krix, Lauren Nicole DeLong, Sumit Madan, Daniel Domingo‐Fernándéz, Ashar Ahmad, Sheraz Gul, Andrea Zaliani, Holger Fröhlich

This paper introduces MultiGML, a multimodal graph machine learning approach that predicts adverse drug events by integrating diverse data sources and provides explainable biological insights.

Heliyon · Aug 27, 2023Peer-reviewedBioinformatics

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