choice: autoNOE

Detailed Help: (only autoNOE specific options)

-h, --help show this help message and exit
-fasta t000_.fasta the sequence to be modelled by ROSETTA
-frags FRAGS FRAGS fragments to be used for denovo-sampling by ROSETTA
-native NATIVE supply a native pdb for RMSD calculation
-native_restrict [NATIVE_RESTRICT [NATIVE_RESTRICT ...]] supply a .rigid file to restrict evaluation of native rms. This wil be column rms_full
-rdc [.rdc [.rdc ...]] rdc-restraint files
-cyana_upl [final.upl [final.upl ...]] cyana upper distance restraints
-restraints [.cst [.cst ...]] rosetta restraint file
-centroid_stage_restraints [*.cst.centroid [*.cst.centroid ...]] rosetta restraint file with atoms C, CA, O, H, N, CB, HA only
-flexible_residues [FLEXIBLE_RESIDUES [FLEXIBLE_RESIDUES ...]] residues that should be considered flexible, use e.g., cs2rigid
-cs .tab add chemical shift score to final output
-fix_topol FIX_TOPOL provide topology file (obtained with r_pdb2top from pdb-file
-peaks [.peaks [.peaks ...]] add peak files for automatic assignment
-shifts [.prot [.prot ...]] add 1 or N files with chemical shifts, N=number of peak-files
-silent SILENT start assignment from the provided ensemble (silent file)
-no_auto_intensities add intensity values for protons, override whats in shift files
-local_distances LOCAL_DISTANCES provide a file of local distances, e.g., predicted with FragsToAtomDist from fragment library

Examples:

setup_target.py -target t000_ -method abrelax -frags frags9.dat frags3.dat -fasta t000_.fasta

prepare a basic abrelax run for target t000_ (use default target-library location $CS3_BENCH_TARGETLIB)

setup_target.py -target t000_ -method rasrec -transfer_method abrelax

copy settings from Setup (t000_, abrelax, standard) to Setup (t000_, rasrec, standard)

setup_target.py -target t000_ -method rasrec -transfer_label standard -label with_rdc -rdc med1.rdc med2.rdc

add rdc data to existing Setup (t000_, rasrec, standard) and call it Setup (t000_, rasrec, with_rdc)