###################################################################
# 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: 495220860
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.4      0.000      0.000
   2         -7.3     11.170     17.445
   3         -7.0      9.865     16.857
   4         -6.8     17.832     23.730
   5         -6.8      3.311     13.612
   6         -6.8     13.409     26.154
   7         -6.7     19.097     26.651
   8         -6.7      9.317     20.684
   9         -6.7      8.461     19.897
  10         -6.7      7.833     17.381
  11         -6.6     11.429     17.863
  12         -6.6     17.325     29.954
  13         -6.6      9.100     18.295
  14         -6.5      5.962     17.914
  15         -6.5      7.622     17.531
  16         -6.5      5.146      8.116
  17         -6.3      7.882     12.961
  18         -6.3     19.469     24.536
  19         -6.2     13.717     22.876
  20         -6.1     18.203     24.300
Writing output ... done.