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DNA-magnetic Particle Binding Analysis by Dynamic and Electrophoretic Light Scattering
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First passage time distribution of multiple impatient particles with reversible binding
1Department of Mathematics, University of Utah, Salt Lake City, Utah 84112, USA.
The Journal of Chemical Physics
|June 10, 2019
Summary
We developed an approximation for the first passage time (FPT) for K out of N diffusing particles to bind to a target. This method accurately models particle impatience and provides a distribution for any N and K.
Area of Science:
- Statistical Physics
- Chemical Kinetics
- Mathematical Modeling
Background:
- Studying the behavior of diffusing particles that interact with a target is crucial in various scientific fields.
- The first passage time (FPT) for multiple particles to bind to a target, considering reversible binding and particle 'impatience', presents a complex temporal coupling challenge.
- Previous research determined the mean FPT for two particles (N=K=2) in a 1D domain.
Purpose of the Study:
- To approximate the full distribution of the first passage time (FPT) for K out of N independently diffusing particles to bind simultaneously to a target.
- To develop an analytically tractable approximation valid for any N ≥ K ≥ 1 in diverse spatial domains and dimensions.
- To investigate the sensitive and nonlinear dependence of FPT on N and K.
Main Methods:
- Development of an analytical approximation for the FPT distribution.
- Proof of the approximation's exactness in the limit of small target/binding rates.
- Demonstration that the approximation serves as an upper bound across all parameter regimes.
- Derivation of explicit formulas for the mean and distribution of the FPT.
- Validation through detailed numerical simulations.
Main Results:
- An analytically tractable approximation for the FPT distribution of K out of N particles binding to a target was derived.
- The approximation is exact for small target/binding rates and an upper bound generally.
- Explicit formulas for the FPT mean and distribution were obtained, revealing sensitive, nonlinear dependencies on K and N.
Conclusions:
- The developed approximation provides a powerful tool for analyzing complex binding dynamics of multiple diffusing particles.
- The study highlights the significant impact of particle number (N) and required bound particles (K) on the first passage time.
- The findings offer insights into systems with reversible binding and particle 'impatience', with broad applicability.
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