###################################################################
# 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: -2078332708
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.0      0.000      0.000
   2         -7.0      2.467      8.500
   3         -6.8      3.181      8.077
   4         -6.8      3.461      8.649
   5         -6.6      2.988      8.958
   6         -6.6      2.836      7.062
   7         -6.6      2.854      8.805
   8         -6.6      3.267      9.461
   9         -6.5      3.426      8.950
  10         -6.4      2.968      7.728
  11         -6.4      3.331      7.598
  12         -6.4      3.034      8.952
  13         -6.3      2.482      6.478
  14         -6.3      2.688      8.290
  15         -6.3      2.917      7.491
  16         -6.3      2.638      8.783
  17         -6.2      2.596      7.715
  18         -6.2      2.440      4.201
  19         -6.2      2.972      8.370
  20         -6.1      3.893      8.955
Writing output ... done.