The Arc Institute has launched the Virtual Cell Challenge, a competition aimed at accelerating the development of computational models that can simulate cellular behavior. The challenge invites researchers to create predictive models of gene expression, protein localization, and other cellular processes using large-scale datasets.
Participants will have access to datasets from the Allen Institute for Cell Science and other sources, including high-resolution microscopy images and single-cell transcriptomics. The goal is to develop models that can accurately predict cellular states under different conditions.
The competition is structured in multiple tracks, focusing on different aspects of cellular biology. For example, one track requires models to predict the nuclear-to-cytoplasmic ratio from gene expression data, while another tests the ability to forecast cellular responses to drug treatments.
Prizes total over $500,000, with top entries receiving funding to further develop their models. The challenge also aims to foster collaboration between computational biologists and experimentalists.
'We want to move beyond descriptive biology to predictive biology,' said a spokesperson for Arc Institute. 'A virtual cell would allow us to test hypotheses in silico before running expensive experiments.'
The deadline for initial submissions is December 31, 2024. For more information, visit the official challenge website.