Author

G. G. Powathil

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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Cancer Biology· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Organism:mouse· 1

Frequent Co-Authors

S. J. Hamis· 2 shared A. Yaromina· 1 shared J. Yates· 1 shared L. J. Dubois· 1 shared M. A. Chaplain· 1 shared M. Kohandel· 1 shared P. Lambin· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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2 shared papersCancer Biology

S. J. Hamis

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2 papers

Recent·Most cited

Cancer BiologybioRxivAug 11, 2021

Targeting cellular DNA damage responses in cancer: An in vitro-calibrated agent-based model simulating monolayer and spheroid treatment responses to ATR-inhibiting drugs

S. J. Hamis, J. Yates, M. A. Chaplain, G. G. Powathil

This paper develops an agent-based model calibrated with in vitro data to simulate cancer cell responses to ATR-inhibiting drugs in monolayers and spheroids, and compares its predictions to in vivo xenograft data.

DOI 10.1007/s11538-021-00935-y

mousebulk RNA-seq

𝕏 PostBluesky

Cancer BiologyPLOS Computational BiologyPeer-reviewedAug 3, 2020

Combining Hypoxia-Activated Prodrugs and Radiotherapy in silico: Impact of Treatment Scheduling and the Intra-Tumoural Oxygen Landscape

S. J. Hamis, M. Kohandel, L. J. Dubois…·G. G. Powathil

This paper uses in silico models to show how hypoxia-activated prodrugs and radiotherapy interact, with treatment outcomes depending on scheduling and tumour oxygen levels.

DOI 10.1371/journal.pcbi.1008041

deep learningstatistical model

𝕏 PostBluesky