###################################################################
# 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: 1617437408
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.9      0.000      0.000
   2         -7.7      2.426      8.759
   3         -7.6      2.374      6.020
   4         -7.6      2.196      9.230
   5         -7.5     17.157     22.856
   6         -7.5      3.087     10.590
   7         -7.4      2.323      7.257
   8         -7.3      2.357      9.080
   9         -7.3      2.713      9.135
  10         -7.3      2.893      7.713
  11         -7.3      2.773      8.068
  12         -7.2      2.474      9.699
  13         -7.1      2.683      6.549
  14         -7.1      2.455      8.134
  15         -7.1      2.574      6.572
  16         -7.0      3.033      7.797
  17         -7.0      3.999     11.301
  18         -7.0      2.883      7.409
  19         -6.9      2.367      8.327
  20         -6.8      2.188      3.780
Writing output ... done.
