###################################################################
# 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: 1348868400
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.5      0.000      0.000
   2         -6.5     20.021     24.668
   3         -6.3     22.721     26.883
   4         -6.2      5.931     10.632
   5         -6.2     24.050     27.426
   6         -6.1     22.634     26.203
   7         -6.1      5.226     12.862
   8         -6.1      4.352     10.256
   9         -6.0      2.616      7.349
  10         -6.0      3.014      7.473
  11         -6.0      3.248     10.965
  12         -6.0      3.558      6.749
  13         -6.0      3.881      7.208
  14         -5.9      3.584     10.601
  15         -5.9     21.110     24.826
  16         -5.9      3.571     11.506
  17         -5.9     24.420     29.107
  18         -5.8      4.295     11.419
  19         -5.8      5.967      9.512
  20         -5.8      3.116      5.924
Writing output ... done.