###################################################################
# 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: -1020748206
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -9.0      0.000      0.000
   2         -8.9      3.823     14.498
   3         -8.8      3.438     11.551
   4         -8.6      3.023     11.868
   5         -8.6      3.625     10.424
   6         -8.5      2.859     12.484
   7         -8.3      3.296     14.701
   8         -8.3      2.902     14.300
   9         -8.3      3.166     13.162
  10         -8.2      3.117     12.925
  11         -8.2      2.481     13.256
  12         -8.0      3.580      9.132
  13         -8.0      3.344     12.677
  14         -8.0      4.036     12.005
  15         -7.9      2.792     13.003
  16         -7.8      3.126     13.166
  17         -7.8      3.504     13.078
  18         -7.8      4.644     12.150
  19         -7.8      2.786     13.122
Writing output ... done.