###################################################################
# 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: 188621932
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.4      0.000      0.000
   2         -7.1     20.739     26.241
   3         -7.0      4.128      9.956
   4         -7.0     19.018     24.623
   5         -7.0      3.115     11.466
   6         -7.0     19.231     23.613
   7         -6.9      3.201     14.001
   8         -6.8      7.103     12.061
   9         -6.7     18.955     22.919
  10         -6.6      2.595     12.948
  11         -6.6     19.092     23.625
  12         -6.6      4.368      8.843
  13         -6.5      5.328      9.751
  14         -6.5      3.903     10.704
  15         -6.5      3.641      7.943
  16         -6.5     20.809     25.523
  17         -6.5     18.356     23.470
  18         -6.5     19.688     25.162
  19         -6.5     19.165     23.149
  20         -6.4      3.208     13.338
Writing output ... done.