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Improved coarse-graining of Markov state models via explicit consideration of statistical uncertainty
Markov state models (MSMs)–or discrete-time master equation models–are a powerful way of modeling the structure and function of molecular systems like proteins. Unfortunately, MSMs with sufficiently many states to make a quantitative connection with experiments (often tens of thousands of states eve...
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
American Institute of Physics
2012
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| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3477182/ https://ncbi.nlm.nih.gov/pubmed/23039589 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1063/1.4755751 |
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