###################################################################
# 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: 724054257
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.9      0.000      0.000
   2         -8.6      3.048     15.412
   3         -8.5      3.887      9.332
   4         -8.3      3.835     16.065
   5         -8.3      1.838      4.685
   6         -8.2      3.383     17.635
   7         -8.2      2.996     16.519
   8         -8.1      2.489      4.673
   9         -8.1      2.831     17.555
  10         -8.1      2.898     17.436
  11         -8.0      7.712     12.538
  12         -7.9      8.926     15.639
  13         -7.9      2.897     16.714
  14         -7.9      2.363      4.681
  15         -7.9      6.302     17.421
  16         -7.8      3.126      7.455
  17         -7.8      3.908     16.987
  18         -7.8      5.349     17.055
  19         -7.7      2.781     17.024
  20         -7.7      2.954     17.874
Writing output ... done.