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ReaDDy - A Software for Particle-Based Reaction-Diffusion Dynamics in Crowded Cellular Environments

Overview of attention for article published in PLOS ONE, September 2013
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Title
ReaDDy - A Software for Particle-Based Reaction-Diffusion Dynamics in Crowded Cellular Environments
Published in
PLOS ONE, September 2013
DOI 10.1371/journal.pone.0074261
Pubmed ID
Authors

Johannes Schöneberg, Frank Noé

Abstract

We introduce the software package ReaDDy for simulation of detailed spatiotemporal mechanisms of dynamical processes in the cell, based on reaction-diffusion dynamics with particle resolution. In contrast to other particle-based reaction kinetics programs, ReaDDy supports particle interaction potentials. This permits effects such as space exclusion, molecular crowding and aggregation to be modeled. The biomolecules simulated can be represented as a sphere, or as a more complex geometry such as a domain structure or polymer chain. ReaDDy bridges the gap between small-scale but highly detailed molecular dynamics or Brownian dynamics simulations and large-scale but little-detailed reaction kinetics simulations. ReaDDy has a modular design that enables the exchange of the computing core by efficient platform-specific implementations or dynamical models that are different from Brownian dynamics.

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Mendeley readers

The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Germany 3 2%
Colombia 1 <1%
Portugal 1 <1%
Brazil 1 <1%
Norway 1 <1%
Japan 1 <1%
Belgium 1 <1%
Unknown 130 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 26%
Researcher 33 23%
Student > Master 17 12%
Student > Bachelor 13 9%
Professor 12 8%
Other 19 13%
Unknown 12 8%
Readers by discipline Count As %
Physics and Astronomy 29 20%
Agricultural and Biological Sciences 20 14%
Chemistry 17 12%
Biochemistry, Genetics and Molecular Biology 16 11%
Computer Science 11 8%
Other 31 22%
Unknown 20 14%