###################################################################
# 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: -1770904697
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.5      0.000      0.000
   2         -6.3      3.300     12.784
   3         -6.2      3.086     12.743
   4         -6.1      5.418      9.992
   5         -6.1      3.100     13.966
   6         -6.1      7.363     11.830
   7         -6.0      6.369     11.357
   8         -6.0      6.847     12.558
   9         -6.0      6.771     13.941
  10         -6.0     16.767     21.597
  11         -6.0      5.066     14.204
  12         -5.9      9.686     18.727
  13         -5.9      3.317     13.791
  14         -5.8      8.296     13.028
  15         -5.8      2.803     13.674
  16         -5.8     20.906     25.997
  17         -5.8      4.149      9.056
  18         -5.7      7.252     11.585
  19         -5.6     10.290     17.833
  20         -5.5     11.972     16.880
Writing output ... done.