###################################################################
# 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: -1397997184
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.9      0.000      0.000
   2         -7.5      3.128      5.632
   3         -7.5      2.933     15.219
   4         -7.3     23.401     26.988
   5         -7.2      4.635      9.672
   6         -7.2     22.274     26.991
   7         -7.1     20.971     24.462
   8         -7.1      5.325     11.494
   9         -7.1      2.756      4.363
  10         -7.1      4.065     14.498
  11         -7.0      3.654     13.974
  12         -7.0     22.724     27.392
  13         -7.0     20.310     25.306
  14         -7.0     20.471     24.023
  15         -6.9      3.945      8.183
  16         -6.9      4.713     14.152
  17         -6.9      2.239      3.825
  18         -6.8      3.488      8.876
  19         -6.8      3.806      6.657
  20         -6.7      3.758      6.778
Writing output ... done.