###################################################################
# 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: -1700392111
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.6      0.000      0.000
   2         -7.2      6.327     13.164
   3         -7.1      6.095     14.894
   4         -7.1      6.070     15.877
   5         -7.1     21.880     26.762
   6         -7.1     24.289     31.166
   7         -7.1     22.770     28.515
   8         -7.0     25.137     30.885
   9         -7.0     24.458     28.474
  10         -6.9     21.056     25.215
  11         -6.8      7.277     11.838
  12         -6.8     20.773     26.649
  13         -6.8     10.090     13.388
  14         -6.8     24.017     31.164
  15         -6.8     19.912     23.853
  16         -6.8      7.211     15.131
  17         -6.7      6.035     11.818
  18         -6.7     27.594     34.005
  19         -6.6     25.873     30.831
  20         -6.6      6.157     15.094
Writing output ... done.