###################################################################
# 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: 1084991800
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -9.1      0.000      0.000
   2         -8.9     18.538     25.854
   3         -8.9      2.614      4.468
   4         -8.8      2.811      5.511
   5         -8.8     12.220     20.860
   6         -8.6      7.586     13.615
   7         -8.5     10.409     17.850
   8         -8.4      7.025     15.085
   9         -8.4     19.942     25.011
  10         -8.4     21.682     28.361
  11         -8.4      3.590      7.055
  12         -8.3      3.196      6.388
  13         -8.3     18.959     25.284
  14         -8.3     12.764     19.069
  15         -8.1     15.404     24.142
  16         -8.1     13.540     21.709
  17         -8.1      3.013      6.328
  18         -8.1      2.921      5.532
  19         -8.0     11.213     16.634
  20         -7.9     10.708     19.434
Writing output ... done.