Author

F. Georgi

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

Cell Biology· 2 Microbiology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:host-pathogen & immune response· 3 Organism:human· 3 Assay:imaging· 3 Research Focus:cell signaling & trafficking· 2 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

A. Yakimovich· 4 shared R. Witte· 4 shared U. F. Greber· 4 shared V. Andriasyan· 4 shared F. Kuttler· 2 shared G. Turcatti· 2 shared L. Murer· 2 shared A. Petkidis· 1 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 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

4 shared papersMicrobiology

A. Yakimovich

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

The FDA-approved drug Nelfinavir inhibits lytic cell-free transmission of human adenoviruses

F. Georgi, V. Andriasyan, R. Witte, L. Murer, S. Hemmi, L. Yu, M. Grove, N. Meili, F. Kuttler, A. Yakimovich, G. Turcatti, U. F. Greber

This paper shows that the FDA-approved drug Nelfinavir inhibits lytic cell-free transmission of certain human adenoviruses but not non-lytic transmission.

bioRxiv · May 15, 2020Microbiology

High-content image-based drug screen identifies a clinical compound against cell transmission of adenovirus

F. Georgi, F. Kuttler, L. Murer, V. Andriasyan, R. Witte, A. Yakimovich, G. Turcatti, U. F. Greber

The paper identifies Nelfinavir mesylate as an inhibitor of adenovirus multi-round plaque formation using an image-based high-throughput screening platform.

bioRxiv · Mar 24, 2020Microbiology

Deep learning of virus infections reveals mechanics of lytic cells

V. Andriasyan, A. Yakimovich, F. Georgi, A. Petkidis, R. Witte, D. Puntener, U. F. Greber

The paper uses deep learning to predict lytic and nonlytic virus infections from imaging data, identifying key phenotypic differences 20 hours before lysis.

bioRxiv · Oct 9, 2019 · PreprintCell Biology

Label-free digital holo-tomographic microscopy reveals virus-induced cytopathic effects in live cells

A. Yakimovich, R. Witte, V. Andriasyan, F. Georgi, U. F. Greber

This study introduces digital holo-tomographic microscopy to observe virus-induced cytopathic effects in live cells with minimal phototoxicity and reveals virus-specific changes.

bioRxiv · Aug 29, 2018Cell Biology