###################################################################
# 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: 156894064
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -9.3      0.000      0.000
   2         -8.7      3.166     13.014
   3         -8.5      4.244     12.894
   4         -8.3      4.170     12.539
   5         -8.1      2.825      6.447
   6         -8.1      4.018     14.039
   7         -8.0      3.862      6.611
   8         -8.0      3.240     14.118
   9         -7.9      4.883     12.396
  10         -7.8      4.319      7.907
  11         -7.8      3.087     13.285
  12         -7.6      5.562     11.902
  13         -7.6      3.874     12.296
  14         -7.6      3.192      6.254
  15         -7.6      4.024     15.269
  16         -7.5      3.576      7.772
  17         -7.5      4.439      8.417
  18         -7.5      3.291      4.881
  19         -7.4      4.514      7.660
  20         -7.4      5.233     12.755
Writing output ... done.