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Studying Cell Rolling Trajectories on Asymmetric Receptor Patterns

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A multiple replica approach to simulate reactive trajectories.

Frédéric Cérou¹, Arnaud Guyader, Tony Lelièvre

¹INRIA Rennes-Bretagne Atlantique, Campus de Beaulieu, 35042 Rennes Cedex, France. Frederic.Cerou@inria.fr

The Journal of Chemical Physics

|February 10, 2011

Summary

This study introduces a new algorithm for simulating reactive trajectories between metastable states. The method efficiently identifies pathways and calculates transition times, proving useful for complex systems.

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Area of Science:

Computational Chemistry
Statistical Mechanics
Chemical Physics

Background:

Understanding molecular dynamics and transitions between stable states is crucial in various scientific fields.
Simulating rare events and calculating transition pathways can be computationally intensive.
Existing methods may struggle with complex systems exhibiting multiple metastable states.

Purpose of the Study:

To develop an efficient computational method for generating reactive trajectories between metastable states.
To extend the algorithm for calculating the time it takes for systems to transition between these states.
To validate the method's reliability and applicability on model systems.

Main Methods:

Parallel simulation of multiple system replicas.
Selection of replicas based on high values along a one-dimensional reaction coordinate.
Extension to compute transition times between metastable states.
Demonstration on one-dimensional and two-dimensional potential energy surfaces.

Main Results:

The proposed algorithm successfully generates reactive trajectories.
The method is effective even when the reaction coordinate does not fully capture all system metastabilities.
Transition times between metastable states can be reliably computed.
Successful application to model systems with varying complexities.

Conclusions:

The developed method offers an efficient approach for studying transitions between metastable states.
This technique provides a valuable tool for computational chemistry and related fields.
The algorithm's ability to handle complex potentials suggests broad applicability.