###################################################################
# 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: 1883869790
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         -7.3      3.056     11.915
   3         -7.0      4.303     16.591
   4         -7.0      3.311     13.147
   5         -7.0      3.504      7.802
   6         -6.9      2.956     12.592
   7         -6.8     20.177     24.714
   8         -6.8     18.438     23.846
   9         -6.8     19.872     26.011
  10         -6.7      4.518      9.609
  11         -6.7     22.371     26.636
  12         -6.7      6.082     11.479
  13         -6.7      4.036     12.850
  14         -6.6     21.209     25.764
  15         -6.5     21.400     27.217
  16         -6.5      4.601     12.463
  17         -6.4      3.126      6.886
  18         -6.4      5.532     10.056
  19         -6.3      4.915     12.827
  20         -6.3      9.350     15.362
Writing output ... done.