###################################################################
# 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: 857979720
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.4      0.000      0.000
   2         -7.2      2.738     12.153
   3         -7.2      2.516      5.566
   4         -7.1      3.121     11.196
   5         -7.1      3.563      7.812
   6         -7.0      3.004      5.592
   7         -7.0      3.840      7.931
   8         -7.0      2.963     13.381
   9         -7.0      4.827      8.446
  10         -7.0      2.815      5.320
  11         -6.9      5.834     10.836
  12         -6.9      2.900     11.726
  13         -6.9      4.855      9.871
  14         -6.8      3.185      7.428
  15         -6.8      1.938      3.697
  16         -6.8      3.462      6.114
  17         -6.8      5.103      9.272
  18         -6.7      4.187     14.691
  19         -6.7      4.075      6.775
  20         -6.4     20.528     25.093
Writing output ... done.