A signaling visualization toolkit to support rational design of combination therapies and biomarker discovery: SiViT.

ABSTRACT: Targeted cancer therapy aims to disrupt aberrant cellular signalling pathways. Biomarkers are surrogates of pathway state, but there is limited success in translating candidate biomarkers to clinical practice due to the intrinsic complexity of pathway networks. Systems biology approaches afford better understanding of complex, dynamical interactions in signalling pathways targeted by anticancer drugs. However, adoption of dynamical modelling by clinicians and biologists is impeded by model inaccessibility. Drawing on computer games technology, we present a novel visualization toolkit, SiViT, that converts systems biology models of cancer cell signalling into interactive simulations that can be used without specialist computational expertise. SiViT allows clinicians and biologists to direct

SUBMITTER: Bown JL 

PROVIDER: S-EPMC5444693 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature