Scientists create first billion-atom biomolecular simulation
Published (updated: ) in Tech News.
We just begin to simulate stuff, when computers will be cheaper, more powerful, smaller, simulation will help for disease treatments. We can’t simulate a whole body so. And we don’t have good scanners too. Not in 2020.
Researchers at Los Alamos National Laboratory have created the largest simulation to date of an entire gene of DNA, a feat that required one billion atoms to model and will help researchers to better understand and develop cures for diseases like cancer.
“It is important to understand DNA at this level of detail, because we want to understand precisely how genes turn on and off,” said Karissa Sanbonmatsu, structural biologist at Los Alamos. “Knowing how this happens could unlock the secrets to how many diseases occur.”
Modelling 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. Sanbonmatsu and her team ran the breakthrough simulation on Los Alamos’ Trinity supercomputer, the sixth fastest in the world.
DNA is the blueprint for all living things and holds the genes that encode the structures and activity in the human body. There is enough DNA in the human body to wrap around the earth 2.5 million times, which means it is compacted in a very precise and organised way. The long, string-like DNA molecule is wound up in a network of tiny, molecular spools. The ways that these spools wind and unwind is what turns genes on and off. Research into this spool network is known as epigenetics, a new, growing field of science that studies how bodies develop inside the womb and how diseases form. When DNA is more compacted, genes are turned off and when the DNA expands, genes are turned on. Researchers do not yet understand how or why this happens.
While atomistic modelling is key to solving the mystery, simulating DNA at this level is no easy task – it requires massive computing power.
“Right now, we were able to model an entire gene with the help of the Trinity supercomputer at Los Alamos,” said Anna Lappala, a polymer physicist at Los Alamos. “In the future, we’ll be able to make use of exascale supercomputers.”
Exascale computers are the next generation of supercomputers and will run calculations orders of magnitude faster than current machines. With that kind of computing power, researchers will be able to model the entire human genome, providing even more insight into how genes turn on and off.
In the new study, published in the Journal of Computational Chemistry, the Los Alamos team partnered with researchers from the RIKEN Center for Computational Science in Japan, the New Mexico Consortium and New York University to collect a large number of different kinds of experimental data and put them together to create an all-atom model that is consistent with that data.
Simulations of this kind are informed by experiments, including chromatin conformation capture, cryo-electron microscopy and X-ray crystallography as well as a number of sophisticated computer modelling algorithms from Jaewoon Jung (RIKEN) and Chang-Shung Tung (Los Alamos).