###################################################################
# 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: 1513003970
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -5.8      0.000      0.000
   2         -5.7     32.447     36.288
   3         -5.6      5.605     10.959
   4         -5.6     26.218     31.364
   5         -5.5     25.811     30.525
   6         -5.4     24.999     30.105
   7         -5.4     30.799     36.144
   8         -5.4     33.222     36.908
   9         -5.4     29.997     35.460
  10         -5.4     30.178     35.591
  11         -5.3     31.449     35.952
  12         -5.3     29.381     34.819
  13         -5.2     29.953     34.677
  14         -5.2     30.409     35.702
  15         -5.2     26.719     31.430
  16         -5.2     32.412     36.597
  17         -5.2     27.469     32.222
  18         -5.1     29.722     34.452
  19         -5.1      7.240     13.691
  20         -5.0     28.692     33.494
Writing output ... done.