###################################################################
# 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: -2119486670
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.2      0.000      0.000
   2         -6.8     14.780     22.979
   3         -6.7      2.777     12.283
   4         -6.5     14.457     21.556
   5         -6.4      8.776     15.902
   6         -6.3      2.633      6.863
   7         -6.3      8.793     14.466
   8         -6.2      3.077      7.998
   9         -6.2     19.447     24.121
  10         -6.2      5.515     15.738
  11         -6.2     14.781     20.523
  12         -6.2     15.811     22.453
  13         -6.2      7.440     11.930
  14         -6.1     14.906     20.326
  15         -6.1      4.273     15.006
  16         -6.1      5.472     16.210
  17         -6.1      3.752      7.166
  18         -6.0      5.724     16.056
  19         -5.9      2.824     13.037
  20         -5.9      4.490      9.468
Writing output ... done.
