Example for PROFcon output(default output)

PFRMAT  RR
TARGET  1
AUTHOR  Marco Punta & Burkhard Rost, CUBIC, Columbia University New York
REMARK  Reference: Toward Good 2D Predictions in Proteins, submitted
METHOD  Feed Forward Neural Network with Back Propagation
MODEL
SEQRES  TTCCPSIVARSNFNVCRLPGTSEAICATYTGCIIIPGATC
SEQRES  PGDYAN
###############################################################
##         RESNUM1 RESNUM2 RESTYPE1 RESTYPE2   (0-8 Ang)   SCORE
################################################################
CONTC        27      33       A       I       0       8    0.95
CONTC        27      34       A       I       0       8    0.92
CONTC        26      34       C       I       0       8    0.88
CONTC        34      40       I       C       0       8    0.85
CONTC        26      32       C       C       0       8    0.85
CONTC        26      35       C       I       0       8    0.83
CONTC        25      36       I       P       0       8    0.83
END