###################################################################
# 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: 1273851172
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.4      0.000      0.000
   2         -6.3     17.301     25.995
   3         -6.2     15.437     27.638
   4         -6.2      2.999      6.882
   5         -6.2      2.694     15.582
   6         -6.1      3.743      4.771
   7         -6.1     15.199     24.791
   8         -6.1      6.038     13.164
   9         -6.1      3.186      6.952
  10         -6.1     17.862     25.348
  11         -6.1     20.694     28.821
  12         -6.0      4.415     14.681
  13         -6.0     22.656     35.694
  14         -5.9     18.304     28.334
  15         -5.9      3.401      5.953
  16         -5.9      3.227      7.329
  17         -5.8     24.587     36.454
  18         -5.8      3.605      8.029
  19         -5.8      3.927     15.239
  20         -5.7     17.581     24.357
Writing output ... done.