###################################################################
# 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: -697279810
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.5      0.000      0.000
   2         -7.3      5.844     11.818
   3         -7.2      7.082     13.414
   4         -7.2     30.703     37.001
   5         -7.1     18.120     22.902
   6         -7.1     30.972     34.965
   7         -7.1     21.427     29.282
   8         -7.1     23.674     27.890
   9         -7.0     28.389     35.224
  10         -6.9      4.719     11.919
  11         -6.9     24.131     28.699
  12         -6.9      7.868     14.320
  13         -6.9     31.508     35.839
  14         -6.9     30.783     36.489
  15         -6.8      4.371     12.885
  16         -6.8      4.249     13.033
  17         -6.7     23.690     30.007
  18         -6.7     27.379     34.852
  19         -6.7     20.554     25.432
  20         -6.6     22.126     30.096
Writing output ... done.