Metastability and Markov State Models in Molecular Dynamics
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Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Recent theoretical work has shown it is more useful to consider an MSM as a discrete approximation to the dynamics of the Markov operator in the full state space of positions and velocities.
“Recent theoretical work has shown it is more useful to instead consider the MSM as a discrete approximation to the dynamics of the Markov operator (transfer operator or dynamical propagator) in the full state space of positions and velocities [8, 7, 5].”
From Markov state models of biomolecular conformational dynamics (2014) · cites this paper as [5]
Good MSMs accurately approximate long-time molecular kinetics because their eigenvectors closely approximate the corresponding eigenfunctions of the Markov operator associated with large eigenvalues.
“A key finding is that good MSMs are able to accurately approximate long-time molecular kinetics because their eigenvectors closely approximate the corresponding eigenfunctions of the Markov operator associated with large eigenvalues [8, 7, 5].”
From Markov state models of biomolecular conformational dynamics (2014) · cites this paper as [5]
The citation lists haven’t been fetched yet
Cited by 80
- Authors
- Schütte, C., & Sarich, M.
- Affiliations
- Zuse Institute Berlin (DE)
- Freie Universität Berlin (DE)
- ORCID
- Schütte, Christof
- Venue
- Courant Lecture Notes
- Publisher
- American Mathematical Society
- Published
- 2013-12-26
- ISSN
- 1529-9031 (ISSN-L)
- 2472-4467
- OpenAlex
- W4213311833
- Cited by
- 80
- References
- 0
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 4 · 2023: 2 · 2022: 2 · 2021: 10 · 2020: 9 · 2019: 10 · 2018: 6 · 2017: 14 · 2016: 6 · 2015: 8 · 2014: 2 · 2013: 3
- FWCI
- 5.11
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Courant lecture notes in mathematics (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Physical Sciences › Chemistry › Physical and Theoretical Chemistry › Advanced Physical and Chemical Molecular Interactions
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Model Reduction and Neural Networks
- Keywords
- metastability, Markov state models, molecular dynamics, rare events, transition pathways, conformational dynamics, free energy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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