###################################################################
# 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: -104725132
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         -7.1     17.287     22.674
   3         -6.9     17.845     22.996
   4         -6.8     19.632     23.287
   5         -6.6     18.547     24.064
   6         -6.5     21.988     26.496
   7         -6.5     17.530     22.212
   8         -6.4     18.914     24.728
   9         -6.4     17.024     20.232
  10         -6.4     20.277     25.385
  11         -6.3     18.206     23.735
  12         -6.3     16.593     21.034
  13         -6.3     17.041     21.219
  14         -6.3     16.089     20.002
  15         -6.2      3.243      7.037
  16         -6.2     19.623     23.997
  17         -6.1     22.840     26.480
  18         -6.1      3.837      6.511
  19         -6.1     27.850     33.642
  20         -6.1     18.578     24.024
Writing output ... done.