AI Virtual Cell: Building Computational Models of Cellular Systems
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Project proposal for developing AI-powered virtual cell models that simulate cellular behavior at unprecedented scale and resolution. Proposed integrating single-cell multi-omics data, protein interaction networks, metabolic pathways, and spatial organization into unified computational framework. Outlined three-phase approach: (1) Foundation model pre-training on billion-scale cellular datasets; (2) Physics-informed neural networks for modeling cellular dynamics; (3) Generative models for predicting cellular responses to perturbations. Discussed applications in drug discovery, synthetic biology, and understanding disease mechanisms. Outlined collaboration opportunities with experimental biologists and computational resources required for training and validation.