Author

Dimitrios Voukantsis

University of OxfordORCID 0000-0002-7472-0794Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:simulation· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Francesca Meteora BuffaiD· 3 shared Clara Eléonore PavilletiD· 2 shared Adrian Llewellyn HarrisiD· 1 shared Ana MiariD· 1 shared Anjali Arora· 1 shared Chang Heon LeeiD· 1 shared Karl MorteniD· 1 shared Ken KahniD· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersBioinformatics

Francesca Meteora BuffaORCID

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3 papers

Recent·Most cited

Metabolic Symbiosis between Oxygenated and Hypoxic Tumour Cells: An Agent-based Modelling Study

Pahala Gedara Jayathilake, Pedro Victori, Clara Eléonore Pavillet, Chang Heon Lee, Dimitrios Voukantsis, Ana Miar, Anjali Arora, Adrian Llewellyn Harris, Karl Morten, Francesca Meteora Buffa

This paper uses agent-based modeling to study metabolic cooperation between oxygenated and hypoxic tumor cells, finding that aerobic glycolysis provides an overall advantage and that blocking glucose transporters is more effective than lactate transporters in reducing tumor growth.

PLoS Computational Biology · Mar 15, 2024Peer-reviewedSystems Biology

Switching On Static Gene Regulatory Networks to Compute Cellular Decisions

Clara Eléonore Pavillet, Dimitrios Voukantsis, Francesca Meteora Buffa

The paper introduces BioSWITCH, a tool that converts static gene regulatory networks into executable models to predict cellular behavior.

bioRxiv · May 29, 2020 · PreprintBioinformatics

Modelling genotypes in their physical microenvironment to predict single- and multi-cellular behaviour

Dimitrios Voukantsis, Ken Kahn, Martin Hadley, Rowan Wilson, Francesca Meteora Buffa

This paper introduces a modelling framework that links genotype, signalling networks, and cell behaviour in a 3D microenvironment to predict single- and multi-cellular dynamics.

bioRxiv · Jan 16, 2019 · PreprintBioinformatics