Provided by: density-fitness_1.1.3-1_amd64 

NAME
density-fitness - Calculates per-residue electron density scores real-space R, real-space correlation
coefficient, EDIAm, and OPIA
SYNOPSIS
density-fitness [OPTION] <mtz-file> <coordinates-file> [output]
density-fitness [OPTION] --hklin=<mtz-file> --xyzin=<coordinates-file> [--output=<output>]
density-fitness [OPTION] --fomap=<fo-map-file> --dfmap=<df-map-file> --reslo=<low-resolution>
--reshi=<high-resolution> --xyzin=<input [--output=<output>]
DESCRIPTION
The program density-fitness calculates electron density metrics, for main- (includes Cβ atom) and side-
chain atoms of individual residues.
For this calculation, the program uses the structure model in either PDB or mmCIF format and the electron
density from the 2mFo-DFc and mFo-DFc maps. If these maps are not readily available, the MTZ file and
model can be used to calculate maps clipper. Density-fitness support both X-ray and electron diffraction
data.
This program is essentially a reimplementation of edstats, a program available from the CCP4 suite.
However, the output now contains only the RSR, SRSR and RSCC fields as in edstats with the addition of
EDIAm and OPIA and no longer requires pre-calculated map coefficients.
The real-space R factor (RSR) is defined (Brändén & Jones, 1990; Jones et al., 1991) as:
RSR = Σ |ρobs - ρcalc| / Σ |ρobs + ρcalc|
The SRSR is the estimated sigma for RSR.
The real-space correlation coefficient (RSCC) is defined as:
RSCC = cov(ρobs,ρcalc) / sqrt(var(ρobs) var(ρcalc))
where cov(.,.) and var(.) are the sample covariance and variance (i.e. calculated with respect to
the sample means of ρobs and ρcalc).
The EDIAm score is a per-residue score based on the atomic EDIA value and the OPIA score gives the
percentage of atoms in the residue with EDIA score is above 0.8.
OPTIONS
When using MTZ files, the input and output files do not need the option flag. If no output file is
given, the result is printed to stdout.
When using map files, the resolution must be specified using the reshi and reslo options.
--xyzin
The coordinates file in either PDB or mmCIF format. This file may be compressed with gzip.
--fomap and --dfmap The 2mFo-DFc and mFo-DFc map files respectively. Both are required and if
these are specified, the resolution must also be specified.
--reslo and --reshi
The low and high resolution for the specified map files.
--hklin
The MTZ file. If this option is specified, the maps will be calculated using the information in
this file.
--sampling-rate
The sampling rate to use when creating maps. Default is 1.5.
--recalc
By default the maps are read from the MTZ file, but you can also opt to recalculate the maps, e.g.
when the structure no longer corresponds to the structure used to calculate the maps in the MTZ
file.
--aniso-scaling
Accepted values for this option are observed and calculated or none. Used when recalculating
maps.
--no-bulk
When specified, a bulk solvent mask is not used in recalculating the maps.
--components (or --compounds)
Specify the path of the CCD file components.cif. By default the one installed by libcifpp is used,
use this option to override this default.
--extra-compounds
A file containing information for residues in this specific target. This file may be in either CCD
or CCP4 monomer library format.
--mmcif-dictionary
Specify the path to the mmcif pdbx dictionary file. The default is to use the dictionary installed
by libcifpp, use this option to override this default.
--no-validate
Omit the validation of the input mmCIF file. This will force output even in case the input file
contains errors.
--electron-scattering
Use electron scattering factors instead of X-ray scattering factors.
--use-auth-ids
By default, when reading mmCIF files, the label_xxx_id is used in the edstats output. Use this
flag to force output with the auth_xxx_ids.
--output-format
By default a JSON file is written, unless the filename ends with .eds. Use this option to force
output in edstats or json format.
--verbose,-V
Be more verbose, useful to diagnose validation errors.
REFERENCES
References:
Statistical quality indicators for electron-density maps
Tickle, I. J. (2012). Acta Cryst. D68, 454-467. DOI: 10.1107/S0907444911035918
Estimating Electron Density Support for Individual Atoms and Molecular Fragments in X-ray Structures
Agnes Meyder, Eva Nittinger, Gudrun Lange, Robert Klein, and Matthias Rarey Journal of Chemical
Information and Modeling 2017 57 (10), 2437-2447 DOI: 10.1021/acs.jcim.7b00391
AUTHOR
Written by Maarten L. Hekkelman <maarten@hekkelman.com>
REPORTING BUGS
Report bugs at https://github.com/PDB-REDO/density-fitness/issues
version 1.0.1 2020-11-23 density-fitness(1)