An operational perturbation proteomics-based virtual cell model.
PubMed / NCBI E-utilities · 學術索引收錄 · 來源發佈：Wed Sep 09 2026 00:00:00 GMT+0000 (Coordinated Universal Time) · 本站收錄：Thu Oct 08 2026 09:08:08 GMT+0000 (Coordinated Universal Time)
已保存的原文節選
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
以上為帶出處的原文節選，完整內容請閱讀原始鏈接。自動收錄與主題分類不等於事實核驗。