Veronique Greenwood in Time Magazine:
A human cell is a Rube Goldberg machine like no other, full of biological chain reactions that make the difference between life and death. Understanding these delicate relationships and how they go wrong in disease is one of the central fascinations of biology. A single mistake in a gene can bend the protein it makes into the wrong shape. A misshapen protein can’t do its job. And for want of that protein, the organism–you–may start to fall apart.
Cells are so complex, however, that getting a sense of how one protein’s failure spreads through the system is tough. Graham Johnson, a computational biologist and scientific illustrator at the Allen Institute for Cell Science, recalls fantasizing at a lunch table, more than 15 years ago, about a computer model of a cell so detailed, so complete, that scientists could watch such processes happening. At that time, “everyone just snickered,” he says. “It was just too unrealistic.” But now some researchers are using AI to take new steps towards the goal of a “virtual cell.” Google’s DeepMind is working on such a project, and the Chan Zuckerberg Initiative (CZI) has made virtual cells a major focus in their Biohub research network, says Theo Karaletsos, senior director of AI at CZI. There is even a new prize, set up by the Arc Institute, for virtual-cell-style models.
More here.
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