###################################################################
# 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: 387360042
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.6      0.000      0.000
   2         -7.5      3.168      8.585
   3         -7.2      2.537      6.643
   4         -6.8      3.734      7.357
   5         -6.7      2.650      9.682
   6         -6.7      5.164     12.056
   7         -6.6      2.586      6.988
   8         -6.6      4.151     10.587
   9         -6.6      3.869     10.547
  10         -6.6      2.577      9.984
  11         -6.5      2.460      8.392
  12         -6.5      2.582      4.974
  13         -6.4      2.590      8.868
  14         -6.4      3.339      9.999
  15         -6.4      3.007      5.753
  16         -6.4      3.015      6.838
  17         -6.4      3.263      7.163
  18         -6.4      2.478      5.077
  19         -6.2      3.274      7.422
  20         -6.2      3.445     10.027
Writing output ... done.