###################################################################
# 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: 801828917
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.9      0.000      0.000
   2         -6.9      2.968     11.761
   3         -6.5      3.702      7.746
   4         -6.5     18.034     25.001
   5         -6.5      3.173      6.724
   6         -6.5     21.269     26.752
   7         -6.4      4.884     12.977
   8         -6.4     25.946     33.421
   9         -6.4      4.255      8.069
  10         -6.4      3.295      8.375
  11         -6.4      3.126     13.174
  12         -6.3      3.447      8.895
  13         -6.3     19.465     24.220
  14         -6.3     19.585     23.371
  15         -6.2      3.873      7.873
  16         -6.2     20.287     22.899
  17         -6.2     18.824     22.893
  18         -6.2      3.028      6.148
  19         -6.1      2.733      7.761
  20         -6.1     20.024     27.484
Writing output ... done.