###################################################################
# 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: -1352702262
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.2      0.000      0.000
   2         -6.6     30.902     35.709
   3         -6.3     26.485     30.673
   4         -6.3     26.698     30.580
   5         -6.1     23.527     29.967
   6         -6.1     23.862     31.269
   7         -6.1     29.238     32.715
   8         -6.1      4.841      9.877
   9         -6.0     22.445     30.291
  10         -5.9      3.425      9.967
  11         -5.9     28.390     33.748
  12         -5.9     28.407     33.869
  13         -5.9     24.107     27.645
  14         -5.8     30.930     34.453
  15         -5.8      3.046     11.436
  16         -5.8      3.026     12.940
  17         -5.8     29.420     32.777
  18         -5.7     22.857     28.199
  19         -5.7     28.992     34.525
  20         -5.6      4.434     14.538
Writing output ... done.