###################################################################
# 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: 406013249
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.2      0.000      0.000
   2         -6.1      5.679      8.996
   3         -6.0     22.168     26.808
   4         -5.9      4.913      9.608
   5         -5.9      7.094     11.641
   6         -5.9      3.265      8.930
   7         -5.8     22.112     26.025
   8         -5.8      3.034      6.273
   9         -5.8     19.451     23.833
  10         -5.7     21.167     25.725
  11         -5.6     20.450     24.622
  12         -5.6     17.538     22.031
  13         -5.6     21.774     25.721
  14         -5.6     18.945     22.938
  15         -5.5      3.873      8.225
  16         -5.5      6.060      9.400
  17         -5.5     20.878     24.775
  18         -5.4     23.883     29.480
  19         -5.4      2.824      9.485
  20         -5.3     22.964     26.855
Writing output ... done.