###################################################################
# 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: -385189540
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.3      0.000      0.000
   2         -6.8      2.396      8.489
   3         -6.7      2.642      7.272
   4         -6.6      2.561      9.547
   5         -6.6      2.375      8.071
   6         -6.4      2.658      8.684
   7         -6.4      2.724      8.279
   8         -6.4      2.606      7.651
   9         -6.4      3.459      9.627
  10         -6.4      2.783      7.008
  11         -6.4      3.659      9.732
  12         -6.3      2.657      8.775
  13         -6.3      3.024      9.273
  14         -6.3      2.441      5.683
  15         -6.3      2.691      5.867
  16         -6.3      2.913     10.299
  17         -6.3      4.912     10.701
  18         -6.2      2.495      6.168
  19         -6.1      2.742      6.448
  20         -6.1      2.582     10.421
Writing output ... done.