###################################################################
# If you used Vina-GPU in your work, please cite:                 #
#                                                                 #
# Tang, S.; Chen, R.; Lin, M.; Lin, Q.; Zhu, Y.; Ding, J.; Hu, H.;#
# Ling, M.; Wu, J. Accelerating AutoDock Vina with GPUs.          #
# Molecules 2022, 27, 3041.                                       #
# https://doi.org/10.3390/molecules27093041                       #
#                                                                 #
# And also the origin AutoDock Vina paper:                        #
# O. Trott, A. J. Olson,                                          #
# AutoDock Vina: improving the speed and accuracy of docking      #
# with a new scoring function, efficient optimization and         #
# multithreading, Journal of Computational Chemistry 31 (2010)    #
# 455-461                                                         #
#                                                                 #
# DOI 10.1002/jcc.21334                                           #
#                                                                 #
###################################################################

WARNING: The search space volume > 27000 Angstrom^3 (See FAQ)
Reading input ... done.
Setting up the scoring function ... done.
Analyzing the binding site ... done.
Using random seed: -1582656111
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.3      0.000      0.000
   2         -7.1      2.873     12.075
   3         -7.0      2.956     12.469
   4         -7.0      2.749      9.654
   5         -6.9      2.632      8.378
   6         -6.9      2.772     10.434
   7         -6.9      2.648     10.414
   8         -6.7      3.238     11.386
   9         -6.6      3.074     10.634
  10         -6.6      3.053     11.422
  11         -6.6      2.862      7.221
  12         -6.5      2.747     11.340
  13         -6.5      3.693     10.690
  14         -6.5      3.867     13.878
  15         -6.4      3.034     11.434
  16         -6.4      2.752     11.035
  17         -6.3      4.720     12.000
  18         -6.3      3.074     11.011
  19         -6.2      3.078     11.477
Writing output ... done.