Literature DB >> 20361275

Cellular dynamic simulator: an event driven molecular simulation environment for cellular physiology.

Michael J Byrne1, M Neal Waxham, Yoshihisa Kubota.   

Abstract

In this paper, we present the Cellular Dynamic Simulator (CDS) for simulating diffusion and chemical reactions within crowded molecular environments. CDS is based on a novel event driven algorithm specifically designed for precise calculation of the timing of collisions, reactions and other events for each individual molecule in the environment. Generic mesh based compartments allow the creation / importation of very simple or detailed cellular structures that exist in a 3D environment. Multiple levels of compartments and static obstacles can be used to create a dense environment to mimic cellular boundaries and the intracellular space. The CDS algorithm takes into account volume exclusion and molecular crowding that may impact signaling cascades in small sub-cellular compartments such as dendritic spines. With the CDS, we can simulate simple enzyme reactions; aggregation, channel transport, as well as highly complicated chemical reaction networks of both freely diffusing and membrane bound multi-protein complexes. Components of the CDS are generally defined such that the simulator can be applied to a wide range of environments in terms of scale and level of detail. Through an initialization GUI, a simple simulation environment can be created and populated within minutes yet is powerful enough to design complex 3D cellular architecture. The initialization tool allows visual confirmation of the environment construction prior to execution by the simulator. This paper describes the CDS algorithm, design implementation, and provides an overview of the types of features available and the utility of those features are highlighted in demonstrations.

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Year:  2010        PMID: 20361275      PMCID: PMC2933752          DOI: 10.1007/s12021-010-9066-x

Source DB:  PubMed          Journal:  Neuroinformatics        ISSN: 1539-2791


  18 in total

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2.  Anomalous diffusion in Purkinje cell dendrites caused by spines.

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4.  Stochastic simulation of chemical reactions with spatial resolution and single molecule detail.

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5.  IQ-motif proteins influence intracellular free Ca2+ in hippocampal neurons through their interactions with calmodulin.

Authors:  Yoshihisa Kubota; John A Putkey; Harel Z Shouval; M Neal Waxham
Journal:  J Neurophysiol       Date:  2007-10-24       Impact factor: 2.714

6.  First-passage Monte Carlo algorithm: diffusion without all the hops.

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Journal:  Phys Rev Lett       Date:  2006-12-04       Impact factor: 9.161

7.  Coarse-grained molecular simulation of diffusion and reaction kinetics in a crowded virtual cytoplasm.

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Journal:  Biophys J       Date:  2008-01-30       Impact factor: 4.033

8.  STEPS: Modeling and Simulating Complex Reaction-Diffusion Systems with Python.

Authors:  Stefan Wils; Erik De Schutter
Journal:  Front Neuroinform       Date:  2009-06-29       Impact factor: 4.081

9.  Stochastic modelling of reaction-diffusion processes: algorithms for bimolecular reactions.

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Journal:  Phys Biol       Date:  2009-08-21       Impact factor: 2.583

10.  FAST MONTE CARLO SIMULATION METHODS FOR BIOLOGICAL REACTION-DIFFUSION SYSTEMS IN SOLUTION AND ON SURFACES.

Authors:  Rex A Kerr; Thomas M Bartol; Boris Kaminsky; Markus Dittrich; Jen-Chien Jack Chang; Scott B Baden; Terrence J Sejnowski; Joel R Stiles
Journal:  SIAM J Sci Comput       Date:  2008-10-13       Impact factor: 2.373

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  16 in total

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Authors:  Zachary Frazier; Frank Alber
Journal:  J Comput Biol       Date:  2012-06       Impact factor: 1.479

2.  An accelerated algorithm for discrete stochastic simulation of reaction-diffusion systems using gradient-based diffusion and tau-leaping.

Authors:  Wonryull Koh; Kim T Blackwell
Journal:  J Chem Phys       Date:  2011-04-21       Impact factor: 3.488

3.  Improved spatial direct method with gradient-based diffusion to retain full diffusive fluctuations.

Authors:  Wonryull Koh; Kim T Blackwell
Journal:  J Chem Phys       Date:  2012-10-21       Impact factor: 3.488

4.  Explicit spatiotemporal simulation of receptor-G protein coupling in rod cell disk membranes.

Authors:  Johannes Schöneberg; Martin Heck; Klaus Peter Hofmann; Frank Noé
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5.  Multithreaded Stochastic PDES for Reactions and Diffusions in Neurons.

Authors:  Zhongwei Lin; Carl Tropper; Robert A Mcdougal; Mohammand Nazrul Ishlam Patoary; William W Lytton; Yiping Yao; Michael L Hines
Journal:  ACM Trans Model Comput Simul       Date:  2017-07       Impact factor: 1.075

6.  Modeling spatial aspects of intracellular dopamine signaling.

Authors:  Kim T Blackwell; Lane J Wallace; BoHung Kim; Rodrigo F Oliveira; Wonryull Koh
Journal:  Methods Mol Biol       Date:  2013

Review 7.  Approaches and tools for modeling signaling pathways and calcium dynamics in neurons.

Authors:  K T Blackwell
Journal:  J Neurosci Methods       Date:  2013-06-03       Impact factor: 2.390

8.  The impacts of geometry and binding on CaMKII diffusion and retention in dendritic spines.

Authors:  Michael J Byrne; M Neal Waxham; Yoshihisa Kubota
Journal:  J Comput Neurosci       Date:  2010-11-23       Impact factor: 1.621

9.  Lobe specific Ca2+-calmodulin nano-domain in neuronal spines: a single molecule level analysis.

Authors:  Yoshihisa Kubota; M Neal Waxham
Journal:  PLoS Comput Biol       Date:  2010-11-11       Impact factor: 4.475

10.  Parallel Stochastic Discrete Event Simulation of Calcium Dynamics in Neuron.

Authors:  Mohammad Nazrul Ishlam Patoary; Carl Tropper; Robert A McDougal; Zhongwei Lin; William W Lytton
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2017-09-26       Impact factor: 3.710

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