###################################################################
# 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: -124292552
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.7      0.000      0.000
   2         -6.3     16.801     21.439
   3         -6.2      2.936      7.013
   4         -6.2      2.678     10.542
   5         -6.1      3.042     10.218
   6         -6.1      3.352      7.368
   7         -6.1     17.130     22.003
   8         -5.9      2.234      4.014
   9         -5.8      2.869     10.119
  10         -5.8     17.739     22.037
  11         -5.8      4.107      8.906
  12         -5.7     15.992     21.514
  13         -5.7     17.398     21.933
  14         -5.7      4.356      8.497
  15         -5.7     24.723     29.617
  16         -5.6      5.446      9.691
  17         -5.6      3.066      6.673
  18         -5.6     26.531     31.496
  19         -5.5      2.255      8.892
  20         -5.5      3.890      8.679
Writing output ... done.