###################################################################
# 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: -117268304
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.6      0.000      0.000
   2         -7.2     18.381     24.022
   3         -7.2      9.834     14.457
   4         -6.9     15.118     21.352
   5         -6.8     11.466     19.574
   6         -6.8      7.104     16.617
   7         -6.8     12.022     22.649
   8         -6.8     14.095     20.711
   9         -6.7      9.996     15.048
  10         -6.7     14.780     22.755
  11         -6.7      5.678     14.264
  12         -6.7      7.550     13.496
  13         -6.6     11.521     18.333
  14         -6.5      8.108     15.022
  15         -6.5      9.305     14.007
  16         -6.5      5.570     10.403
  17         -6.5      3.052     15.604
  18         -6.4     15.055     19.699
  19         -6.4     18.400     25.114
  20         -6.3      3.084      4.844
Writing output ... done.