Author

Rowan S. M. Howell

King's College LondonORCID 0000-0002-2479-180XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Organism:yeast· 2 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Cinzia KlemmiD· 2 shared Peter Harold ThorpeiD· 2 shared Ann‐Kathrin ReuschliD· 1 shared Attila Csikász‐NagyiD· 1 shared Benny ChainiD· 1 shared Clare L. BennettiD· 1 shared Clare L. JollyiD· 1 shared David M. LoweiD· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersGenomics

Cinzia KlemmORCID

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3 papers

Recent·Most cited

Systems Biologynpj Digital MedicinePeer-reviewedFeb 14, 2022

Executable Network of SARS-CoV-2-Host Interaction Predicts Drug Combination Treatments

Rowan S. M. Howell, Matthew A. Clarke, Ann‐Kathrin Reuschl…·Jasmin Fisher

This paper predicts effective drug combinations for treating early- and late-stage severe SARS-CoV-2 infection using an executable network model of host-virus interactions.

16 citations

humanstatistical model

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GenomicsBMC BioinformaticsPeer-reviewedFeb 5, 2022

ScreenGarden: A shinyR application for fast and easy analysis of plate-based high-throughput screens

Cinzia Klemm, Rowan S. M. Howell, Peter Harold Thorpe

ScreenGarden provides a tool for streamlined analysis of plate-based high-throughput screens by automating colony growth measurements and statistical analysis.

8 citations

yeastexperimental assay

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Systems BiologyPLoS BiologyPeer-reviewedNov 12, 2020

Unifying the mechanism of mitotic exit control in a spatio-temporal logical model

Rowan S. M. Howell, Cinzia Klemm, Peter Harold Thorpe, Attila Csikász‐Nagy

The paper develops a spatio-temporal logical model of the Mitotic Exit Network (MEN) in budding yeast, revealing insights into protein localization and activity, and validating predictions experimentally.

13 citations

yeaststatistical model

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