###################################################################
# 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: 639215760
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.2      0.000      0.000
   2         -8.1      7.767     14.984
   3         -8.0      2.550      5.170
   4         -8.0      2.307      3.739
   5         -8.0      5.855     11.446
   6         -8.0      3.157     16.124
   7         -8.0      3.124     16.288
   8         -7.9      3.115     16.975
   9         -7.9      2.207      2.954
  10         -7.8      2.366      4.147
  11         -7.8      2.898     16.496
  12         -7.8      6.689     18.063
  13         -7.8      4.415     15.487
  14         -7.7      3.082     16.656
  15         -7.7      2.377      3.887
  16         -7.7      2.352     16.132
  17         -7.7      3.464      6.422
  18         -7.7      2.175      3.822
  19         -7.7      4.111      8.576
  20         -7.6      3.003      5.601
Writing output ... done.