Bunne Charlotte, Roohani Yusuf, Rosen Yanay, Gupta Ankit, Zhang Xikun, Roed Marcel, Alexandrov Theo, AlQuraishi Mohammed, Brennan Patricia, Burkhardt Daniel B, Califano Andrea, Cool Jonah, Dernburg Abby F, Ewing Kirsty, Fox Emily B, Haury Matthias, Herr Amy E, Horvitz Eric, Hsu Patrick D, Jain Viren, Johnson Gregory R, Kalil Thomas, Kelley David R, Kelley Shana O, Kreshuk Anna, Mitchison Tim, Otte Stephani, Shendure Jay, Sofroniew Nicholas J, Theis Fabian, Theodoris Christina V, Upadhyayula Srigokul, Valer Marc, Wang Bo, Xing Eric, Yeung-Levy Serena, Zitnik Marinka, Karaletsos Theofanis, Regev Aviv, Lundberg Emma, Leskovec Jure, Quake Stephen R
Department of Computer Science, Stanford University, Stanford, CA, USA; Genentech, South San Francisco, CA, USA; Chan Zuckerberg Initiative, Redwood City, CA, USA; School of Computer and Communication Sciences and School of Life Sciences, EPFL, Lausanne, Switzerland.
Department of Computer Science, Stanford University, Stanford, CA, USA; Chan Zuckerberg Initiative, Redwood City, CA, USA; Arc Institute, Palo Alto, CA, USA.
Cell. 2024 Dec 12;187(25):7045-7063. doi: 10.1016/j.cell.2024.11.015.
Cells are essential to understanding health and disease, yet traditional models fall short of modeling and simulating their function and behavior. Advances in AI and omics offer groundbreaking opportunities to create an AI virtual cell (AIVC), a multi-scale, multi-modal large-neural-network-based model that can represent and simulate the behavior of molecules, cells, and tissues across diverse states. This Perspective provides a vision on their design and how collaborative efforts to build AIVCs will transform biological research by allowing high-fidelity simulations, accelerating discoveries, and guiding experimental studies, offering new opportunities for understanding cellular functions and fostering interdisciplinary collaborations in open science.
细胞对于理解健康和疾病至关重要,然而传统模型在对细胞功能和行为进行建模与模拟方面存在不足。人工智能和组学的进展为创建人工智能虚拟细胞(AIVC)提供了开创性的机遇,这是一种基于多尺度、多模态大型神经网络的模型,能够表征和模拟处于不同状态的分子、细胞及组织的行为。本观点阐述了其设计理念,以及构建人工智能虚拟细胞的协作努力将如何通过实现高保真模拟、加速发现并指导实验研究来变革生物学研究,为理解细胞功能和促进开放科学中的跨学科合作提供新机遇。