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src/b/i/biskit-2.4/scripts/Mod/model.py   biskit(Download)
 
    ## fit backbone of all models to average until convergence
    models =  glob.glob( '%s/target.B*'%(m8.outFolder + m8.F_RESULT_FOLDER) )
    traj = Trajectory( models )
    traj.blockFit2ref( mask=traj[0].maskBB() )

src/b/i/biskit-2.4/Biskit/Mod/Benchmark.py   biskit(Download)
    """
    # standard directory for input
    F_INPUT_FOLDER = Modeller.F_RESULT_FOLDER
 
    # standard directory for output