###################################################################
# 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: -1462414267
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         -6.8     19.396     24.549
   3         -6.8     19.094     25.186
   4         -6.7     19.780     23.610
   5         -6.6     19.146     23.748
   6         -6.6     19.871     24.463
   7         -6.6     19.994     24.448
   8         -6.6      3.120      5.624
   9         -6.6     20.788     23.923
  10         -6.6     19.790     25.128
  11         -6.5     20.599     24.975
  12         -6.5     21.252     24.994
  13         -6.5     20.326     25.526
  14         -6.4      2.893     12.684
  15         -6.4     19.774     25.241
  16         -6.4     19.306     23.824
  17         -6.4      3.947     11.070
  18         -6.4     20.172     24.038
  19         -6.4     20.213     26.055
  20         -6.3     20.314     25.658
Writing output ... done.