###################################################################
# 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: -814686
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.2      0.000      0.000
   2         -7.0      2.853      8.613
   3         -7.0      4.534      9.513
   4         -6.9      2.605      9.500
   5         -6.8      3.193      7.202
   6         -6.7      2.533      8.244
   7         -6.6      2.616      8.716
   8         -6.6      3.016      8.871
   9         -6.4      2.856      7.960
  10         -6.4      4.207      9.250
  11         -6.4      3.554     10.240
  12         -6.3      3.388      9.330
  13         -6.3      6.892     11.855
  14         -6.3      2.786      8.478
  15         -6.3      3.101     10.438
  16         -6.3      8.795     13.615
  17         -6.3      3.987      9.923
  18         -6.2      3.293      9.531
  19         -6.1      3.915      9.971
  20         -6.1      2.821      8.534
Writing output ... done.