###################################################################
# 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: -1176045296
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.5      0.000      0.000
   2         -6.4      2.432      5.112
   3         -6.3      2.897      6.375
   4         -6.3     17.444     21.261
   5         -6.2      3.497      9.640
   6         -6.2      3.508     10.384
   7         -6.2      2.644      5.841
   8         -6.2     18.776     22.871
   9         -6.2     23.298     26.995
  10         -6.1     18.617     23.524
  11         -6.1      3.298      7.219
  12         -6.1     15.490     20.493
  13         -6.0     20.802     24.662
  14         -6.0      2.917      6.226
  15         -5.9      2.681      8.662
  16         -5.9     20.189     23.873
  17         -5.8     32.050     35.172
  18         -5.8      2.512      5.273
  19         -5.7      3.217      8.827
  20         -5.7      2.707      7.827
Writing output ... done.