人工智能虚拟细胞技术赋能中医药现代化研究OA

Artificial Intelligence Virtual Cell(AIVC)is a multi-scale modeling approach that integrates multi-omics data with deep learning techniques,capable of simulating dynamic cellular behaviors at molecular,cellular,and tissue levels,and predicting cellular responses under stimuli such as genetic perturbations or drug interventions.The modernization of Traditional Chinese Medicine(TCM)still faces several major challenges,including unclear mechanisms underlying multi-component herbal formulations,low efficiency in active compound screening,and the limited dimensionality of conventional experimental approaches.These challenges highlight the ur-gent need for innovative research methodologies.By reviewing the technical principles and developmental trajectory of AIVC,this study explores its potential application pathways in TCM research.On this basis,an AIVC-based framework for mechanism elucidation and drug discovery in TCM.This framework encompasses five core stages,namely data integration,model construction,target screening,mechanism inference,and experimental validation.This framework aims to provide a new paradigm for elucidating the multi-target syn-ergistic mechanisms of herbal formulations and for identifying their active components.In addition,the major challenges currently faced in this field are discussed,and future development directions are outlined.AIVC is expected to promote the transformation of TCM re-search from an experience-driven paradigm to a data-driven paradigm,thereby providing essential technological support for the moderni-zation of TCM.