###################################################################
# 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: -1791788544
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.8      0.000      0.000
   2         -6.2      2.529     12.444
   3         -6.0     19.321     24.320
   4         -6.0      2.740     11.000
   5         -5.9      4.279     13.592
   6         -5.9      3.225     12.002
   7         -5.8     22.287     26.898
   8         -5.8      5.492     15.200
   9         -5.8      3.396      7.068
  10         -5.8     20.523     25.194
  11         -5.8      3.216      6.474
  12         -5.7     19.791     24.771
  13         -5.7      2.563      5.761
  14         -5.7      3.996      9.252
  15         -5.7      4.074     10.881
  16         -5.7      2.553     10.556
  17         -5.6      4.930     12.057
  18         -5.5     23.181     28.456
  19         -5.5      2.626      6.758
  20         -5.5      2.759     10.202
Writing output ... done.