About: In recent years, advances in cryoEM have dramatically increased the resolution of Coulomb potential maps and, with it, the number of solved atomic models. It is widely accepted that the quality of cryoEM maps varies locally; therefore, the evaluation of the maps-derived structural models must be done locally as well. In this article, a method for the local analysis of the map-to-model fit is presented. The algorithm uses a comparison of two local resolution maps. The first is the local FSC (Fourier shell correlation) between the full map and the model, while the second is calculated between the half maps normally used in typical single particle analysis workflows. We call the new quality measure “FSC-Q”, and it is a quantitative estimation of how much of the model is supported by the signal content of the map. Furthermore, we show that FSC-Q may be helpful to avoid overfitting. It can be used to complement other methods, such as the Q-score method that estimates the resolvability of atoms.   Goto Sponge  NotDistinct  Permalink

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  • In recent years, advances in cryoEM have dramatically increased the resolution of Coulomb potential maps and, with it, the number of solved atomic models. It is widely accepted that the quality of cryoEM maps varies locally; therefore, the evaluation of the maps-derived structural models must be done locally as well. In this article, a method for the local analysis of the map-to-model fit is presented. The algorithm uses a comparison of two local resolution maps. The first is the local FSC (Fourier shell correlation) between the full map and the model, while the second is calculated between the half maps normally used in typical single particle analysis workflows. We call the new quality measure “FSC-Q”, and it is a quantitative estimation of how much of the model is supported by the signal content of the map. Furthermore, we show that FSC-Q may be helpful to avoid overfitting. It can be used to complement other methods, such as the Q-score method that estimates the resolvability of atoms.
subject
  • Bioinformatics
  • Electron microscopy
  • Image processing
  • Scientific techniques
  • Cell biology
  • Protein structure
  • Localization (mathematics)
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