###################################################################
# 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: -995538392
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.3      0.000      0.000
   2         -8.2      2.609      6.755
   3         -8.1      2.826     11.789
   4         -8.1      2.489     11.127
   5         -8.0      2.813      6.789
   6         -7.9      4.410      8.106
   7         -7.8      2.860      7.018
   8         -7.8      4.166     10.492
   9         -7.7      3.196      6.004
  10         -7.7      2.295      6.308
  11         -7.7      2.528     10.490
  12         -7.6      2.275      4.712
  13         -7.6      4.276     13.439
  14         -7.6      3.656      8.174
  15         -7.5      3.377      7.262
  16         -7.5      2.746     11.003
  17         -7.4      2.428      6.989
  18         -7.4      3.025     12.556
  19         -7.4      3.369      9.847
  20         -7.2      3.134      9.250
Writing output ... done.