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How to build the virtual cell with artificial intelligence: Priorities and opportunities
Cell ( IF 45.5 ) Pub Date : 2024-12-12 , DOI: 10.1016/j.cell.2024.11.015
Charlotte Bunne, Yusuf Roohani, Yanay Rosen, Ankit Gupta, Xikun Zhang, Marcel Roed, Theo Alexandrov, Mohammed AlQuraishi, Patricia Brennan, Daniel B. Burkhardt, Andrea Califano, Jonah Cool, Abby F. Dernburg, Kirsty Ewing, Emily B. Fox, Matthias Haury, Amy E. Herr, Eric Horvitz, Patrick D. Hsu, Viren Jain, Gregory R. Johnson, Thomas Kalil, David R. Kelley, Shana O. Kelley, Anna Kreshuk, Tim Mitchison, Stephani Otte, Jay Shendure, Nicholas J. Sofroniew, Fabian Theis, Christina V. Theodoris, Srigokul Upadhyayula, Marc Valer, Bo Wang, Eric Xing, Serena Yeung-Levy, Marinka Zitnik, Theofanis Karaletsos, Aviv Regev, Emma Lundberg, Jure Leskovec, Stephen R. Quake

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.

中文翻译:


如何利用人工智能构建虚拟单元:优先事项和机遇



细胞对于了解健康和疾病至关重要,但传统模型无法对其功能和行为进行建模和模拟。AI 和组学的进步为创建 AI 虚拟细胞 (AIVC) 提供了开创性的机会,AIVC 是一种基于多尺度、多模态的大型神经网络模型,可以表示和模拟分子、细胞和组织在不同状态下的行为。该视角提供了对其设计的愿景,以及协作构建 AIVC 将如何通过允许高保真模拟、加速发现和指导实验研究来改变生物研究,为了解细胞功能和促进开放科学中的跨学科合作提供新机会。
更新日期:2024-12-12
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