###################################################################
# 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: 5321220
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.1      0.000      0.000
   2         -7.0      2.295      9.779
   3         -6.8      3.698     11.218
   4         -6.7      2.216      6.422
   5         -6.7      2.601      8.101
   6         -6.7      2.669      7.105
   7         -6.5      3.110      6.271
   8         -6.4      3.116      7.036
   9         -6.4      2.239     10.448
  10         -6.4      2.820     10.303
  11         -6.3      3.042      6.501
  12         -6.3      2.536      9.884
  13         -6.2      2.953     10.150
  14         -6.2      2.993      8.441
  15         -6.2      3.154      5.544
  16         -6.2      2.482      9.803
  17         -6.2      2.953      7.352
  18         -6.1      3.572      6.960
  19         -6.0      2.863     10.456
  20         -6.0      3.264     10.299
Writing output ... done.