###################################################################
# 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: 2092588968
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.4      0.000      0.000
   2         -6.1     16.883     27.557
   3         -6.0      3.261     14.887
   4         -6.0     21.471     26.146
   5         -5.9     18.488     27.708
   6         -5.9      3.110      6.022
   7         -5.8      4.601     14.150
   8         -5.8     22.872     27.246
   9         -5.7     17.575     26.002
  10         -5.7     19.739     27.122
  11         -5.7     23.496     30.763
  12         -5.7     18.758     28.888
  13         -5.6     28.734     35.813
  14         -5.6     18.785     28.871
  15         -5.6      5.909     10.184
  16         -5.6     19.886     28.376
  17         -5.6     22.199     31.007
  18         -5.5     19.438     27.689
  19         -5.5      4.527     14.400
Writing output ... done.