###################################################################
# 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: 780342660
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.5      0.000      0.000
   2         -7.4      3.058      7.452
   3         -7.4      3.062      8.775
   4         -7.3      3.964     12.792
   5         -7.3      1.846      2.427
   6         -7.2      2.516      7.296
   7         -7.1      4.542     12.522
   8         -7.1      3.881      8.599
   9         -7.1      2.184      3.207
  10         -7.1      3.164     12.420
  11         -7.0      3.373      7.060
  12         -7.0      3.291      7.081
  13         -7.0      2.829      7.014
  14         -7.0      3.023     12.587
  15         -6.9      2.749      6.955
  16         -6.9      2.562      7.138
  17         -6.8      3.682      8.556
  18         -6.8      2.594      7.657
  19         -6.7      2.950      7.003
  20         -6.6      2.682      4.958
Writing output ... done.