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How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities.

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Artificial intelligence (AI) can create virtual cells, high-fidelity simulations learned from biological data. These AI virtual cells will advance understanding of cell biology and disease mechanisms.

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Area of Science:

  • Cell biology
  • Computational biology
  • Artificial intelligence in medicine

Background:

  • The cell is fundamental to life and disease research.
  • Accurate cell modeling is crucial for biological understanding and identifying disease origins.
  • Advances in AI and large-scale data generation offer new avenues for cell modeling.

Purpose of the Study:

  • To propose a vision for leveraging AI to build virtual cells.
  • To outline the capabilities of AI Virtual Cells for simulating cellular systems.
  • To address challenges and requirements for realizing this vision.

Main Methods:

  • Utilizing advances in artificial intelligence (AI).
  • Learning from large-scale, multi-scale biological data.
  • Developing interpretable in silico experiments with Virtual Instruments.

Main Results:

  • AI Virtual Cells can generate universal biological representations.
  • Facilitates interpretable in silico experiments to predict cellular behavior.
  • Identifies challenges including data needs, evaluation, and community standards.

Conclusions:

  • AI Virtual Cells offer a path to predictive understanding of cellular mechanisms.
  • Potential applications include drug target identification and predicting cellular responses.
  • Open science collaboration is key to realizing the utility of AI Virtual Cells.