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

Charlotte Bunne1, Yusuf Roohani2, Yanay Rosen3

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Researchers propose an AI virtual cell (AIVC) to model cell behavior. This advanced AI approach promises to accelerate biological discoveries and guide experimental studies for better health and disease understanding.

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Area of Science:

  • Computational Biology
  • Artificial Intelligence in Biology
  • Cellular and Molecular Biology

Background:

  • Traditional cell models are insufficient for accurately simulating cellular functions and behaviors in health and disease.
  • Significant advancements in Artificial Intelligence (AI) and omics technologies present novel opportunities for biological modeling.

Purpose of the Study:

  • To present a vision for the design and development of an AI virtual cell (AIVC).
  • To outline how collaborative efforts in building AIVCs can revolutionize biological research.

Main Methods:

  • Utilizing multi-scale, multi-modal large-neural-network-based models.
  • Integrating AI and omics data for comprehensive cellular representation.

Main Results:

  • AIVCs will enable high-fidelity simulations of molecules, cells, and tissues across diverse states.
  • This approach will accelerate the pace of scientific discovery and experimental validation.

Conclusions:

  • AI virtual cells offer transformative potential for understanding cellular functions and disease mechanisms.
  • Fostering interdisciplinary collaborations and open science is crucial for realizing the full potential of AIVCs.