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by jpvelez
2467 days ago
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Fascinating discussion! Could any of you knowledgeable folks say a bit more about 1. why whole-nucleus simulation is so hard and out of reach, 2. what role simulation currently plays in understanding gene expression, 3. to what extent will simulation be important for understanding how genes translate to phenotypes over the long term? I know next to nothing about this field or the relevant biology, but would love to learn more! |
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Imagine you're doing a straight-forward computer simulation. You have a state-of-the-world, a time-step, and rules for how the world evolves during that time-step.
You might write your own orbital simulation; the positions of the various planets and asteroids are your state, you might use a time-step of a minute or an hour or a day, and your rules for how the state evolves during each time step might just be Newton's laws of gravity and motion. You can probably update your state in a fraction of a second, even if you are simulating hundreds or thousands of planetary bodies, and you can simulate eons in hours.
The problem with simulating biology on an atomic level is that your time-step needs to be in the femtosecond to picosecond range, because atoms can move fast, and small differences in their position make big differences, but interesting things like protein folding can take minutes of real time.
So to simulate anything interesting, you need to step through quadrillions of time steps.
Oh, and you're running this on more than one processor, so you need to do smart things so your simulation isn't trying to synchronize all of its processors on every step; oh, and we can't tell you the exact position of every atom in a cell to start with, or even necessarily all of the different types of molecules that are present. Oh, and all of these cells -- or pieces of cellular machinery -- behave in ways that are dependent upon the environment they are immersed in, so you also need to simulate that somehow.
There's a reason Randall Monroe described the difficulty of protein folding as "we may one day find a harder problem".