###################################################################
# 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: -1664459046
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         -6.3      9.197     15.213
   3         -6.2      8.278     14.796
   4         -6.2      5.605     13.129
   5         -5.9      3.996     13.009
   6         -5.9      4.129     11.538
   7         -5.7      3.371     10.953
   8         -5.6      4.248     12.830
   9         -5.6      5.383     11.000
  10         -5.6      9.932     15.528
  11         -5.5     15.444     22.151
  12         -5.4      6.265     10.465
  13         -5.4      2.802      6.284
  14         -5.4      4.805     13.560
  15         -5.3      2.329      4.817
  16         -5.3      5.618     13.207
  17         -5.3     15.983     20.714
  18         -5.2     15.447     21.473
  19         -5.2      4.528      7.202
  20         -5.2      6.277     13.808
Writing output ... done.