###################################################################
# 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: -1615459746
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.6      0.000      0.000
   2         -8.5      3.933     16.591
   3         -8.3      3.163     13.325
   4         -8.3      3.771      5.967
   5         -8.2      4.108     13.253
   6         -8.0      4.045      8.985
   7         -8.0      3.219     14.460
   8         -8.0      4.936      8.655
   9         -7.9      3.517     14.953
  10         -7.9      2.487     14.144
  11         -7.9      7.191     12.677
  12         -7.8      5.277     12.660
  13         -7.8      3.898     10.280
  14         -7.8      4.939     11.968
  15         -7.7      4.467     12.103
  16         -7.7      4.170      7.872
  17         -7.7      3.222      8.661
  18         -7.7      4.976      8.830
  19         -7.7      4.009     13.499
  20         -7.6      2.592     13.887
Writing output ... done.