Literature DB >> 30022359

Implementing efficient concerted rotations using Mathematica and C code.

Luca Tubiana1, Miroslav Jurásek2,3, Ivan Coluzza4.   

Abstract

In this article we demonstrate a general and efficient metaprogramming implementation of concerted rotations using Mathematica. Concerted rotations allow the movement of a fixed portion of a polymer backbone with fixed bending angles, like a protein, while maintaining the correct geometry of the backbone and the initial and final points of the portion fixed. Our implementation uses Mathematica to generate a C code which is then wrapped in a library by a Python script. The user can modify the Mathematica notebook to generate a set of concerted rotations suited for a particular backbone geometry, without having to write the C code himself. The resulting code is highly optimized, performing on the order of thousands of operations per second.

Entities:  

Keywords:  Topical issue: Advances in Computational Methods for Soft Matter Systems

Year:  2018        PMID: 30022359     DOI: 10.1140/epje/i2018-11694-7

Source DB:  PubMed          Journal:  Eur Phys J E Soft Matter        ISSN: 1292-8941            Impact factor:   1.890


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9.  Transferable coarse-grained potential for de novo protein folding and design.

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  2 in total

1.  Topical Issue on Advances in Computational Methods for Soft Matter Systems.

Authors:  Lorenzo Rovigatti; Flavio Romano; John Russo
Journal:  Eur Phys J E Soft Matter       Date:  2018-08-29       Impact factor: 1.890

2.  Topical Issue on Dielectric Spectroscopy Applied to Soft Matter.

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Journal:  Eur Phys J E Soft Matter       Date:  2020-01-23       Impact factor: 1.890

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