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An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation pp 91–100Cite as

Transition Path Theory

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Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 797))

Abstract

An overview of the theory for analyzing the statistical properties of the reactive trajectories by which transitions occur between a set of initial and final states in a Markov model, and thereby obtain e.g. the highest flux pathways between these states.

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References

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Author information

Authors and Affiliations

  1. Courant Institute, New York University, 251 Mercer street, New York, NY, 10012, USA

    Eric Vanden-Eijnden

Authors
  1. Eric Vanden-Eijnden
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Correspondence to Eric Vanden-Eijnden .

Editor information

Editors and Affiliations

  1. University of California, Berkeley, California, USA

    Gregory R. Bowman

  2. Department of Chemistry, Stanford University, Stanford, California, USA

    Vijay S. Pande

  3. Freie Universität Berlin, Berlin, Germany

    Frank Noé

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Vanden-Eijnden, E. (2014). Transition Path Theory. In: Bowman, G., Pande, V., Noé, F. (eds) An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation. Advances in Experimental Medicine and Biology, vol 797. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7606-7_7

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