###################################################################
# 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: -1060748068
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1        -10.5      0.000      0.000
   2         -9.9      4.259      7.725
   3         -9.8      3.701      7.019
   4         -9.8      3.092      6.776
   5         -9.6      2.959      6.130
   6         -9.3      3.086     15.490
   7         -9.3      3.553     13.676
   8         -9.2      3.195      5.896
   9         -9.1      4.216      7.769
  10         -9.0      5.100     16.534
  11         -9.0      3.267     16.127
  12         -9.0      4.270     12.111
  13         -8.8      3.218      6.276
  14         -8.8     20.954     26.580
  15         -8.7      3.853      7.217
  16         -8.6      4.502     13.577
  17         -8.6      3.492     15.816
  18         -8.5      1.744      3.340
  19         -8.4      3.218     15.798
Writing output ... done.