Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8877069 | Mathematical Biosciences | 2018 | 5 Pages |
Abstract
To model non-Markovian fluctuations arising in biomolecular transport, we introduce a stochastic process with memory where Brownian motion is modulated sinusoidally. The probability density function and moments of this non-Markovian process are evaluated analytically as Hida stochastic functional integrals. Comparison of graphs of computed variance vis-รก-vis empirical data for protein diffusion coefficients closely match with both exhibiting emergent superdiffusive then subdiffusive behavior for longer proteins.
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Authors
Wilson I. Barredo, Christopher C. Bernido, M. Victoria Carpio-Bernido, Jinky B. Bornales,