###################################################################
# 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: -1547858954
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -5.8      0.000      0.000
   2         -5.7      6.845     16.009
   3         -5.6     18.429     22.410
   4         -5.5      4.686     12.777
   5         -5.5      4.160      9.608
   6         -5.4     18.655     23.197
   7         -5.4      3.641      7.441
   8         -5.4      2.956     12.026
   9         -5.3      7.931     13.565
  10         -5.3      3.055      6.746
  11         -5.3     20.229     25.096
  12         -5.3      3.554      7.567
  13         -5.2      8.057     15.933
  14         -5.2     18.994     23.456
  15         -5.2      7.772     13.841
  16         -5.1     20.901     26.283
  17         -5.1      6.487     15.933
  18         -5.1     18.323     23.835
  19         -5.0     19.125     23.093
  20         -5.0     14.705     21.896
Writing output ... done.