Author

Ursula Bilitewski

Helmholtz Centre for Infection ResearchORCID 0000-0003-2952-1208Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Approach:machine learning (classical)· 1 Research Focus:metabolism & bioenergetics· 1 Assay:metabolomics· 1

Frequent Co-Authors

Mark BrönstrupiD· 2 shared Andrea ZalianiiD· 1 shared Heike Overwin· 1 shared Jackson M. MuemaiD· 1 shared Leonie von BerliniD· 1 shared Marie AttwoodiD· 1 shared Myriam Friemelt· 1 shared Olga GenilloudiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersMicrobiology

Mark BrönstrupORCID

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2 papers

Recent·Most cited

MicrobiologybioRxivPreprintJul 11, 2025

Metabolic reprogramming of methylthioadenosine-dependent sulfur recycling is a major driver of CHIKV infection

Jackson M. Muema, Myriam Friemelt, Heike Overwin…·Ursula Bilitewski

This study identifies metabolic reprogramming of sulfur recycling via MTA and Mat2a as a key driver of CHIKV infection and highlights potential therapeutic targets.

DOI 10.1101/2025.07.11.664323

metabolomicsexperimental assay

𝕏 PostBluesky

BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedFeb 23, 2025

Predicting antimicrobial class specificity of small molecules using machine learning

Yojana Gadiya, Olga Genilloud, Ursula Bilitewski…·Andrea Zaliani

The paper develops ML models to predict antimicrobial activity of small molecules using a knowledge graph, achieving 75.9% accuracy in identifying active compounds.

16 citationstop 2%

machine learning (classical)drug response / drug discovery

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