###################################################################
# 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: 1177418904
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.7      0.000      0.000
   2         -7.3      3.886      8.107
   3         -7.2      3.422     14.610
   4         -7.1      3.089     14.757
   5         -7.1      2.284     15.274
   6         -7.1     17.700     21.857
   7         -7.1      4.547     12.050
   8         -7.0      2.367     15.387
   9         -7.0      3.241      7.374
  10         -7.0      2.538      4.351
  11         -6.9     17.804     22.933
  12         -6.8     17.312     22.476
  13         -6.8     17.451     23.959
  14         -6.8      5.094     13.700
  15         -6.8      2.922     15.388
  16         -6.8      5.360     14.523
  17         -6.8      4.453      8.927
  18         -6.7      2.485      3.539
  19         -6.7     15.645     20.683
  20         -6.7     18.258     26.129
Writing output ... done.