Virtual cell is an emerging technology that integrates multiple disciplines, including biology, computer science, and artificial intelligence, to simulate cellular structures and functions. Compared with traditional methods, virtual cell technology offers a more holistic approach, enabling efficient simulation of cellular dynamics and prediction of biological phenomena. This technology holds significant potential in fields such as precision medicine, drug discovery, and synthetic biology. The development of virtual cells is driven by advancements in single-cell sequencing, subcellular imaging, and computational power, with platforms such as environment for cell simulation (E-Cell) and cell packing (CellPACK) enabling simulations across multiple biological scales. However, challenges remain, including data integration, model interpretability, and computational costs. Despite these challenges, virtual cell technology has made advances in drug development, disease research, and synthetic biology, offering a promising tool for personalized medicine and improving research accuracy. In the future, virtual cell technology is expected to find broader applications in cross-species simulations, quantum computing, and interdisciplinary collaborations.
J et al. (2026) studied this question.