Author

N. Beil

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

Biology Disciplines

Click to filter author papers

Microbiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:bulk RNA-seq· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Assay:protein sequence· 1 Assay:proteomics· 1

Frequent Co-Authors

A. Hiemisch· 1 shared A. L. Vera-Guapi· 1 shared H. Erfle· 1 shared M. A. Kelch· 1 shared M. Oswald· 1 shared P. Wajda· 1 shared R. König· 1 shared S. Ciesek· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperMicrobiology

A. Hiemisch

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Machine learning on large scale perturbation screens for SARS-CoV-2 host factors identifies β-catenin/CBP inhibitor PRI-724 as a potent antiviral

M. A. Kelch, A. L. Vera-Guapi, T. Beder, M. Oswald, A. Hiemisch, N. Beil, P. Wajda, S. Ciesek, H. Erfle, T. Toptan, R. König

This paper uses machine learning on perturbation screens to identify PRI-724 as a potent antiviral targeting β-catenin/CBP, effective against multiple coronaviruses and influenza.

bioRxiv · Feb 23, 2023 · PreprintMicrobiology