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Updated: May 24, 2026

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Published on: September 5, 2019

Steady-state parameter sensitivity in stochastic modeling via trajectory reweighting.

Patrick B Warren¹, Rosalind J Allen

¹Unilever R&D Port Sunlight, Quarry Road East, Bebington, Wirral, CH63 3JW, United Kingdom. patrick.warren@unilever.com

The Journal of Chemical Physics

|March 20, 2012

Summary

This study introduces trajectory reweighting for efficient parameter sensitivity analysis in biochemical network models. The novel method avoids repeated simulations, enabling faster computation of sensitivity coefficients for stochastic models.

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Published on: May 8, 2021

Area of Science:

Biochemistry
Computational Biology
Systems Biology

Background:

Parameter sensitivity analysis is crucial for biochemical network modeling.
Stochastic simulations present computational challenges for sensitivity analysis due to repeated simulations.

Purpose of the Study:

To develop a computationally efficient method for parameter sensitivity analysis in stochastic simulations.
To avoid the need for multiple simulations by using trajectory reweighting.

Main Methods:

Trajectory reweighting to compute sensitivity coefficients without parameter perturbation.
Simultaneous computation of multiple sensitivity coefficients.
Application of the Girsanov measure transform principles.

Main Results:

A novel method for computing sensitivity coefficients in stochastic simulations.
Enables computation of steady-state sensitivity coefficients from a single simulation run.
Demonstrated application to signaling networks and genetic switches.

Conclusions:

The trajectory reweighting method significantly enhances the efficiency of parameter sensitivity analysis for biochemical networks.
The approach simplifies the analysis of stochastic models, particularly those with linear propensity functions.
Facilitates deeper insights into biochemical signaling and genetic regulatory systems.