Note: MSM lag time cannot be used for variational model selection
Brooke E Husic1, Vijay S Pande1
1Department of Chemistry, Stanford University, Stanford, California 94305, USA.
The variational principle aids in building Markov state models by optimizing hyperparameters. This study explains why the lag time must remain constant during operator approximation for accurate conformational dynamics analysis.
Area of Science:
- Computational chemistry
- Statistical mechanics
- Biophysics
Background:
- The variational principle is a key method for constructing Markov state models (MSMs) in conformational dynamics.
- MSMs are essential for understanding molecular processes by analyzing transition pathways.
- Hyperparameter optimization is crucial for accurate MSM construction.
Purpose of the Study:
- To elucidate the necessity of a constant lag time in the variational approach for approximating the transfer operator.
- To provide a theoretical basis for the correct application of the variational principle in MSM construction.
Main Methods:
- Theoretical analysis of the variational principle for conformational dynamics.
- Examination of the transfer operator approximation within the variational framework.
- Discussion on the role of lag time in the optimization process.
Main Results:
- The lag time used for approximating the transfer operator must be invariant within the variational approach.
- Deviations from a constant lag time can lead to inaccuracies in the resulting Markov state models.
Conclusions:
- Maintaining a constant lag time is a critical requirement for the valid application of the variational principle.
- This finding ensures the reliability of Markov state models derived using this method for studying molecular dynamics.
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