Toby C. Rodman, Betty J. Flehinger, et al.
Human Genetics
Biomolecular simulation can act as both a digital microscope and a crystal ball; offering the potential for a deeper understanding of experimental observations whilst also presenting a forward-looking avenue for the in silico design and evaluation of hitherto unsynthesized compounds. Indeed, as the intricacy of our scientific inquiries has grown, so too has the computational prowess we seek to deploy in our pursuit of answers. As we enter the Exascale era, this mini-review surveys the computational landscape from both the point of view of the development of new and ever more powerful systems, and the simulations that are run on them. Moreover, as we stand on the cusp of a transformative phase in computational biology, this article offers a contemplative glance into the future, speculating on the profound implications of artificial intelligence and quantum computing for large-scale biomolecular simulations.
Toby C. Rodman, Betty J. Flehinger, et al.
Human Genetics
Roger D. Traub, Miles A. Whittington, et al.
Reviews in the Neurosciences
Craig R. Gregor, Eleonora Cerasoli, et al.
Journal of Biological Chemistry
A. Grinvald, R.D. Frostig, et al.
Physiological Reviews