HSimulator: Hybrid StochasticDeterministic Simulation of Biochemical Reaction Networks

Joint Authors

Marchetti, Luca
Lombardo, Rosario
Priami, Corrado

Source

Complexity

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-12-13

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Philosophy

Abstract EN

HSimulator is a multithread simulator for mass-action biochemical reaction systems placed in a well-mixed environment.

HSimulator provides optimized implementation of a set of widespread state-of-the-art stochastic, deterministic, and hybrid simulation strategies including the first publicly available implementation of the Hybrid Rejection-based Stochastic Simulation Algorithm (HRSSA).

HRSSA, the fastest hybrid algorithm to date, allows for an efficient simulation of the models while ensuring the exact simulation of a subset of the reaction network modeling slow reactions.

Benchmarks show that HSimulator is often considerably faster than the other considered simulators.

The software, running on Java v6.0 or higher, offers a simulation GUI for modeling and visually exploring biological processes and a Javadoc-documented Java library to support the development of custom applications.

HSimulator is released under the COSBI Shared Source license agreement (COSBI-SSLA).

American Psychological Association (APA)

Marchetti, Luca& Lombardo, Rosario& Priami, Corrado. 2017. HSimulator: Hybrid StochasticDeterministic Simulation of Biochemical Reaction Networks. Complexity،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1142523

Modern Language Association (MLA)

Marchetti, Luca…[et al.]. HSimulator: Hybrid StochasticDeterministic Simulation of Biochemical Reaction Networks. Complexity No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1142523

American Medical Association (AMA)

Marchetti, Luca& Lombardo, Rosario& Priami, Corrado. HSimulator: Hybrid StochasticDeterministic Simulation of Biochemical Reaction Networks. Complexity. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1142523

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1142523