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Bunne, C.* ; Roohani, Y.* ; Rosen, Y.* ; Gupta, A.* ; Zhang, X.* ; Roed, M.* ; Alexandrov, T.* ; AlQuraishi, M.* ; Brennan, P.* ; Burkhardt, D.B.* ; Califano, A.* ; Cool, J.* ; Dernburg, A.F.* ; Ewing, K.* ; Fox, E.B.* ; Haury, M.* ; Herr, A.E.* ; Horvitz, E.* ; Hsu, P.D.* ; Jain, V.* ; Johnson, G.R.* ; Kalil, T.* ; Kelley, D.R.* ; Kelley, S.O.* ; Kreshuk, A.* ; Mitchison, T.* ; Otte, S.* ; Shendure, J.* ; Sofroniew, N.J.* ; Theis, F.J. ; Theodoris, C.V.* ; Upadhyayula, S.* ; Valer, M.* ; Wang, B.* ; Xing, E.* ; Yeung-Levy, S.* ; Zitnik, M.* ; Karaletsos, T.* ; Regev, A.* ; Lundberg, E.* ; Leskovec, J.* ; Quake, S.R.*

How to build the virtual cell with artificial intelligence: Priorities and opportunities.

Cell 187, 7045-7063 (2024)
Publ. Version/Full Text DOI PMC
Open Access Gold (Paid Option)
Creative Commons Lizenzvertrag
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.
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Publication type Article: Journal article
Document type Review
Corresponding Author
Keywords Ai ; Ml ; Cell Biology ; Virtual Cell
ISSN (print) / ISBN 0092-8674
e-ISSN 1097-4172
Journal Cell
Quellenangaben Volume: 187, Issue: 25, Pages: 7045-7063 Article Number: , Supplement: ,
Publisher Cell Press
Publishing Place Cambridge, Mass.
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Computational Biology (ICB)