Quantitative comparison of alternative methods for coarse-graining biological networks
نویسندگان
چکیده
منابع مشابه
Quantitative comparison of alternative methods for coarse-graining biological networks.
Markov models and master equations are a powerful means of modeling dynamic processes like protein conformational changes. However, these models are often difficult to understand because of the enormous number of components and connections between them. Therefore, a variety of methods have been developed to facilitate understanding by coarse-graining these complex models. Here, we employ Bayesi...
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Coarse-graining model is a promising way to analyze and visualize large-scale networks. The coarse-grained networks are required to preserve statistical properties as well as the dynamic behaviors of the initial networks. Some methods have been proposed and found effective in undirected networks, while the study on coarse-graining directed networks lacks of consideration. In this paper we propo...
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Multiscale simulations For nearly all systems of interest to us, the most transferrable and fundamental description of matter is one that invokes quantum mechanics. At the highest level of accuracy, this amounts to solving Schrodinger’s equation for all of the subatomic particles in a system. Computationally, many approximations need to be made in order to use ab initio methods, and even these ...
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ژورنال
عنوان ژورنال: The Journal of Chemical Physics
سال: 2013
ISSN: 0021-9606,1089-7690
DOI: 10.1063/1.4812768