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Growing Glycans in Rosetta: Accurate de novo glycan modeling, density fitting, and rational sequon design Jared Adolf-Bryfogle, J. W Labonte, J. C Kraft, M. Shapavolov, S. Raemisch, T. Lutteke, F. Dimaio, C. D Bahl, J. Pallesen, N. P King, J. J Gray, D. W Kulp, W. R Schief bioRxiv 2021.09.27.462000; https://doi.org/10.1101/2021.09.27.462000
Autogenerated Tag Syntax Documentation:
Authors: Jared Adolf-Bryfogle (jadolfbr@gmail.com) and Frank Dimaio (fdimaio@gmail.com) Calculate either a correlation (match_res true) or zscore related to the fit to the density. Uses internal density tools to do so. Numbers and cutoffs match well with Coot's density fit analysis tool. Zscore uses weighted sum of density, density-compared-to-neighbors, rama (where applicable) and cart_bonded to compute) Correlation is same values used to calculate density scores. Zscore reference is here: eLife 2016, Dimaio
<PerResidueDensityFitMetric name="(&string;)" custom_type="(&string;)"
output_as_pdb_nums="(false &bool;)" residue_selector="(&string;)"
sliding_window_size="(3 &positive_integer;)" match_res="(false &bool;)"
mixed_sliding_window="(false &bool;)"
use_selector_as_zscore_mask="(true &bool;)" />
ResidueSummaryMetric: Summarize a PerResidueRealMetric in various ways, such as the mean, sum, or the number of residues above, below, or equal to a certain value.
RunSimpleMetrics: Run a set of SimpleMetrics and output data to the scorefile