###################################################################
# 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: -839801240
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.8      0.000      0.000
   2         -7.8      4.867     17.260
   3         -7.7      3.507     15.518
   4         -7.5      5.552     14.416
   5         -7.3      4.350      8.445
   6         -7.3      4.025      8.436
   7         -7.2      4.281      8.236
   8         -7.2      3.273      6.898
   9         -7.2      3.267      6.366
  10         -7.2      3.821     13.238
  11         -7.1      5.864     18.543
  12         -7.1      2.801      5.973
  13         -7.1      4.792     16.822
  14         -7.1      2.465      5.882
  15         -7.1      4.866     15.510
  16         -7.0      5.407     18.086
  17         -7.0      5.145     10.906
  18         -6.9      4.303      8.816
  19         -6.8      7.694     15.344
  20         -6.6      4.471      9.561
Writing output ... done.