2014
DOI: 10.1016/j.sbi.2014.01.004
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Theoretical frameworks for multiscale modeling and simulation

Abstract: Biomolecular systems have been modeled at a variety of scales, ranging from explicit treatment of electrons and nuclei to continuum description of bulk deformation or velocity. Many challenges of interfacing between scales have been overcome. Multiple models at different scales have been used to study the same system or calculate the same property (e.g., channel conductance). Accurate modeling of biochemical processes under in vivo conditions and the bridging of molecular and subcellular scales will likely soo… Show more

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Cited by 32 publications
(26 citation statements)
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References 91 publications
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“…[16,18 • ,51,96]). Yet there is no general framework as for hybrid classical/quantum mechanics methods, and the best techniques are inherently tailored.…”
Section: Perspectivementioning
confidence: 99%
See 1 more Smart Citation
“…[16,18 • ,51,96]). Yet there is no general framework as for hybrid classical/quantum mechanics methods, and the best techniques are inherently tailored.…”
Section: Perspectivementioning
confidence: 99%
“…Multiscale modeling has also earned the 2013 Nobel Prize in Chemistry for Karplus, Levitt, and Warshel for their pioneering work in linking classical and quantum-mechanical levels for enzymatic reactions [17]. General multiscale computations remain a challenge, though much progress has been made [18 • ]. There is, however, no general approach for linking chromatin's many scales of spatial as well as temporal scales in analogy to the quantum and classical degrees of freedom for protein catalysis.…”
Section: Introductionmentioning
confidence: 99%
“…As illustrated in Figure 1, the rise of scientific supercomputing has allowed for the study of the living cell in unparalleled detail, from the scale of the atom [1, 2] to a whole organism [3, 4, 5] and at all levels in between [6]. In particular, the past three decades have witnessed the evolution of molecular dynamics (MD) simulations as a “computational microscope” [7], which has provided a unique framework for the study of the phenomena of cell biology in atomic (or near-atomic) detail.…”
Section: Introductionmentioning
confidence: 99%
“…The emerging multiscale simulation methods 12,[15][16][17][18][19][20] are the optimal way to tackle such situations as they bypass the trade-off between accuracy and efficiency of a model. The adaptive resolution scheme (AdResS) is such a method and allows one to simulate a system at multiple resolutions.…”
Section: Introductionmentioning
confidence: 99%