###################################################################
# 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: 1053229070
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.1      0.000      0.000
   2         -6.9      2.474      8.876
   3         -6.8      6.550     12.138
   4         -6.4      7.240     15.125
   5         -6.4      5.717     13.563
   6         -6.2      2.782      6.207
   7         -6.1      2.480      7.121
   8         -6.1      2.469      8.540
   9         -6.1      2.597      7.222
  10         -6.0      2.920     10.568
  11         -6.0      2.664      4.934
  12         -6.0     10.089     16.156
  13         -6.0      6.794     14.094
  14         -6.0      4.344     11.675
  15         -5.9      3.070      8.999
  16         -5.9      2.801      9.031
  17         -5.9      3.364     11.114
  18         -5.8      2.605     10.368
  19         -5.8      2.323      7.893
  20         -5.8      3.298      9.420
Writing output ... done.