###################################################################
# 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: -2097063882
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.3      0.000      0.000
   2         -8.2      8.896     16.400
   3         -8.0      8.156     15.384
   4         -8.0      2.869      5.957
   5         -7.9      7.227     14.921
   6         -7.9      8.797     16.512
   7         -7.9     10.187     17.802
   8         -7.9     10.132     17.399
   9         -7.8      8.945     16.424
  10         -7.8      8.674     16.096
  11         -7.7      8.019     15.057
  12         -7.7     10.300     17.470
  13         -7.7      9.679     17.070
  14         -7.6      3.536     10.736
  15         -7.6      8.761     16.077
  16         -7.6     10.596     18.298
  17         -7.5      6.336     12.920
  18         -7.5      2.633      8.539
  19         -7.5      7.787     15.102
Writing output ... done.