Author

A. Weimann

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 4 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 4 Assay:whole-genome sequencing· 4 Assay:bulk RNA-seq· 2 Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Research Focus:host-pathogen & immune response· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1

Frequent Co-Authors

R. A. Floto· 3 shared J. Parkhill· 2 shared A. Bremges· 1 shared A. C. McHardy· 1 shared A. Dinan· 1 shared A. Khaledi· 1 shared A. Kola· 1 shared A. M. Dinan· 1 shared

Activity by Year

2019-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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3 shared papersMicrobiology

R. A. Floto

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Sequence-based modelling of bacterial genomes enables accurate antibiotic resistance prediction

M. Wiatrak, A. Weimann, A. M. Dinan, M. Brbic, R. A. Floto

This study introduces GeneBac, a deep learning model that predicts antibiotic resistance from bacterial genomic sequences, showing accurate MIC prediction and variant effect assessment.

bioRxiv · Jan 3, 2024 · PreprintMicrobiology

Mutational spectra analysis reveals bacterial niche and transmission routes

C. Ruis, A. Weimann, G. Tonkin-Hill, A. P. Pandurangan, M. MATUSZEWSKA, G. G. R. Murray, R. C. Levesque, T. L. Blundell, R. A. Floto, J. Parkhill

The paper analyzes mutational spectra in bacterial lineages to infer niche-specific mutagen exposure and transmission routes.

bioRxiv · Jul 13, 2022 · PreprintMicrobiology

Phagosomal RNA sensing through TLR8 controls susceptibility to tuberculosis

C. Maserumule, C. Passemar, O. Oh, K. Hegyi, K. Brown, A. Weimann, A. Dinan, S. Davila, C. Klapholz, J. Bryant, D. Verma, J. Gadwa, S. Krishnananthasivam, K. Vongtongsalee, E. Kendall, , R. A. Floto

The paper identifies TLR8 as a key regulator of intracellular killing of Mtb, showing that phagosomal RNA sensing through TLR8 controls susceptibility to tuberculosis and reveals a druggable pathway for host-directed therapy.

bioRxiv · Jun 14, 2022Immunology

The pathobiology of Mycobacterium abscessus revealed through phenogenomic analysis

L. Boeck, S. Burbaud, M. J. Skwark, W. H. Pearson, J. Sangen, A. Weimann, I. Everall, J. M. Bryant, S. Malhotra, B. Bannerman, K. Kierdorf, T. Blundell, M. S. Dionne, J. Parkhill, A. R. Floto

This study uses phenogenomic analysis to uncover virulence mechanisms and drug resistance in Mycobacterium abscessus by integrating phenotyping, genomics, and computational modeling.

bioRxiv · Oct 18, 2021 · PreprintMicrobiology

Fighting antimicrobial resistance in Pseudomonas aeruginosa with machine learning-enabled molecular diagnostics

A. Khaledi, A. Weimann, M. Schniederjans, E. Asgari, T.-H. Kuo, A. Oliver, G. Cabot, A. Kola, P. Gastmeier, M. Hogardt, D. Jonas, M. Mofrad, A. Bremges, A. C. McHardy, S. Haeussler

This study uses machine learning on genomic and transcriptomic data to predict antimicrobial resistance in Pseudomonas aeruginosa, achieving high sensitivity for four antibiotics.

bioRxiv · May 24, 2019Microbiology