ORCID Profile
0000-0002-3456-6614
Current Organisation
University of Leeds
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Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2019
Publisher: Elsevier BV
Date: 04-2017
Publisher: Hindawi Limited
Date: 02-12-2018
DOI: 10.1155/2018/6714317
Publisher: IEEE
Date: 05-2017
Publisher: Springer Science and Business Media LLC
Date: 22-02-2018
DOI: 10.1038/S41598-018-21826-8
Abstract: Measurement techniques in biology are now able to provide data on the trajectories of multiple in idual molecules simultaneously, motivating the development of techniques for the stochastic spatio-temporal modelling of biomolecular networks. However, standard approaches based on solving stochastic reaction-diffusion equations are computationally intractable for large-scale networks. We present a novel method for modeling stochastic and spatial dynamics in biomolecular networks using a simple form of the Langevin equation with noisy kinetic constants. Spatial heterogeneity in molecular interactions is decoupled into a set of compartments, where the distribution of molecules in each compartment is idealised as being uniform. The reactions in the network are then modelled by Langevin equations with correcting terms, that account for differences between spatially uniform and spatially non-uniform distributions, and that can be readily estimated from available experimental data. The accuracy and extreme computational efficiency of the approach is demonstrated on a model of the epidermal growth factor receptor network in the human mammary epithelial cell.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2016
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Jongrae Kim.