Scientists create first billion-atom biomolecular simulation
1–10 of 35 posts
Re: Scientists create first billion-atom biomolecular simulation
#2Re: Scientists create first billion-atom biomolecular simulation
#3> Modeling genes at the atomistic level is the first step toward creating a complete explanation of how DNA expands and contracts, which controls genetic on/off switching.
That does not work in isolation like this: McGuffee and Elcock did some fantastic work in 2010 where they showed that protein stability is quite dependent on that the cytoplasm is insanely densely packed. The same is also true for the nucleus of a cell. You can't make any serious claims of a bottom-up explanation of gene regulation and expression unless you can model the entire nucleus, which is out of our reach for years and years to come.
And that is before I start on whether this is an actually useful way to research gene expression in general, which I'd very much argue against.
Re: Scientists create first billion-atom biomolecular simulation
#4While very impressive, I'm not sure about their goal: > Modeling genes at the atomistic level is the first step toward creating a complete explanation of how DNA expands and contracts, which controls genetic on/off switching. That does not work in isolation like this: McGuffee and Elcock did some fantastic work in 2010 where they showed that protein stability is quite dependent on that the cytoplasm is insanely dense…
Re: Scientists create first billion-atom biomolecular simulation
#5Still a bit to slow... I guess it is progress :)
Re: Scientists create first billion-atom biomolecular simulation
#6Re: Scientists create first billion-atom biomolecular simulation
#7While very impressive, I'm not sure about their goal: > Modeling genes at the atomistic level is the first step toward creating a complete explanation of how DNA expands and contracts, which controls genetic on/off switching. That does not work in isolation like this: McGuffee and Elcock did some fantastic work in 2010 where they showed that protein stability is quite dependent on that the cytoplasm is insanely dense…
Depending on how they model the simulation's fields, long range intra-atomic forces, and boundary conditions, I'd still say this kind of molecular dynamic simulation is better than doing nothing and waiting to simulate the whole nucleus. It could have accounted for these sorts of effects in a way that is cruder than whole nucleus simulation, but I haven't read any papers about this simulation.
Re: Scientists create first billion-atom biomolecular simulation
#8There's an inherent tension when doing a method development paper - if your result is too fantastical it's hard to know whether it's an artifact of your (potentially faulty) technique, and if the thing you're studying is well-understood then it serves as a good control, but it's less interesting. I suspect they chose the latter path since it requires no validation via existing methodologies.
Re: Scientists create first billion-atom biomolecular simulation
#9"130,000 processor cores with 1 ns/day" Still a bit to slow... I guess it is progress :)
Re: Scientists create first billion-atom biomolecular simulation
#10While very impressive, I'm not sure about their goal: > Modeling genes at the atomistic level is the first step toward creating a complete explanation of how DNA expands and contracts, which controls genetic on/off switching. That does not work in isolation like this: McGuffee and Elcock did some fantastic work in 2010 where they showed that protein stability is quite dependent on that the cytoplasm is insanely dense…
Depending on how they model the simulation's fields, long range intra-atomic forces, and boundary conditions, I'd still say this kind of molecular dynamic simulation is better than doing nothing and waiting to simulate the whole nucleus. It could have accounted for these sorts of effects in a way that is cruder than whole nucleus simulation, but I haven't read any papers about this simulation.
I know next to nothing about this field or the relevant biology, but would love to learn more!