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Assessing Exhaustiveness of Stochastic Sampling for Integrative Modeling of Macromolecular Structures
Modeling of macromolecular structures involves structural sampling guided by a scoring function, resulting in an ensemble of good-scoring models. By necessity, the sampling is often stochastic, and must be exhaustive at a precision sufficient for accurate modeling and assessment of model uncertainty...
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| Veröffentlicht in: | Biophys J |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
The Biophysical Society
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5768525/ https://ncbi.nlm.nih.gov/pubmed/29211988 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.bpj.2017.10.005 |
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