Paul Robertson (Artist), James L. Bown (Other), Andrei Boiko (Developer), Mark Shovman (Developer), Alexey Goltsov (Other)

Research output: Non-textual formSoftware

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The Signalling Visualisation Toolkit (SiViT), is a cancer cell signalling network visualisation tool that provides an intuitive games-based real-time interactive interface to models of cancer cell dynamics. SiViT provides a games-technology approach to unlocking the complexities of cancer cells to anti-cancer drugs. SiViT can load a wide range of biological models in the form of SBML, but the work focuses on the Abertay Cancer cell model. SiViT allows clinicians and biologists to directly interact with the cancer cell model, introducing drugs or mutations. SiViT animates the effects of these introductions on the internal elements of the cell pathways and nodes. Showing how the cell network responds to these introductions such as increased or decreased activity, or re-rerouting to bypass the effected region of the network. Indicating the effectiveness of drugs, drug resistance and suggesting area for further experimentation.
Offering bi-directional interaction and explorations. With drug inserts updating the model in real-time. Timings of drug introduction or mutations is crucial and SiViT allows for changes to occur at specific timings and model the result. This is critical in the exploration of combination therapees. SiViT follows the visual guidelines from existing literature on cell networking and dynamics, with ongoing HCI work being conducted to ensure information is visualised accessibly.
SiViT was part of the UKRI Main Exhibition Stand at the American Association for the Advancement of Science 2019 conference. SiViT was the catalyst for a new 4-year project led by Macmillan Cancer Support on optimising health and social care service provision through interactive network visualisation.
Original languageEnglish
Publication statusPublished - 18 May 2016


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