Simplified models representing biopolymers at less than atomic resolution (Coarse Grained) have recently become popular due to the need of reaching the mu-scale (in space and time domains) in simulations. The reduction of the internal degrees of freedom of the system brings a potentially unlimited saving of computational cost, at the expenses of the introduction of two main class of problems: (i) those related to the representability of the system and back-mapping to atomistic representation, (ii) those related to the parameterization of an accurate and predictive, yet simple enough, force field for the interactions. In this paper we illustrate these two issues focusing on the representative sub-class of the "minimalist" models, namely those with a single interacting center for amino-acid or nucleotide. We describe their features and the different available parameterization methodologies, illustrating their positive and negative aspects, with the aim of giving guiding lines for a general parameterization strategy.

Minimalist models for biopolymers: Open problems, latest advances and perspectives

Trovato F;Tozzini V
2012

Abstract

Simplified models representing biopolymers at less than atomic resolution (Coarse Grained) have recently become popular due to the need of reaching the mu-scale (in space and time domains) in simulations. The reduction of the internal degrees of freedom of the system brings a potentially unlimited saving of computational cost, at the expenses of the introduction of two main class of problems: (i) those related to the representability of the system and back-mapping to atomistic representation, (ii) those related to the parameterization of an accurate and predictive, yet simple enough, force field for the interactions. In this paper we illustrate these two issues focusing on the representative sub-class of the "minimalist" models, namely those with a single interacting center for amino-acid or nucleotide. We describe their features and the different available parameterization methodologies, illustrating their positive and negative aspects, with the aim of giving guiding lines for a general parameterization strategy.
2012
Istituto Nanoscienze - NANO
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/12143
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