###################################################################
# 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: 1453799306
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         -6.9      4.306      7.561
   3         -6.9      4.684      6.826
   4         -6.8      3.246     11.605
   5         -6.8      4.490     11.670
   6         -6.5      5.025      8.895
   7         -6.5     22.247     27.823
   8         -6.5      3.444     12.492
   9         -6.5      3.527     12.462
  10         -6.5      3.283     11.862
  11         -6.5      2.900     11.302
  12         -6.5     29.535     33.364
  13         -6.4     15.092     18.987
  14         -6.4     19.140     22.064
  15         -6.4     15.212     20.400
  16         -6.4     18.908     22.607
  17         -6.4     22.838     27.802
  18         -6.3      4.297      9.814
  19         -6.2     24.309     27.365
  20         -6.2      6.042     12.651
Writing output ... done.