An operational perturbation proteomics-based virtual cell model.
PubMed / NCBI E-utilities · Indexed academic record · Source published: Wed Sep 09 2026 00:00:00 GMT+0000 (Coordinated Universal Time) · Indexed here: Thu Oct 08 2026 09:08:08 GMT+0000 (Coordinated Universal Time)
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Artificial intelligence-empowered virtual cell models represent an emerging approach for in silico drug discovery 1-3 , yet most existing approaches lack large-scale, time-resolved perturbation proteomics data and interpretable frameworks for predicting therapeutic responses. Here we generated more than 38 million temporal protein-abundance measurements from systematically perturbed breast cancer
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