###################################################################
# 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: 806537803
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         -7.1      3.430      8.188
   3         -7.0      2.756      7.103
   4         -7.0      3.544      8.332
   5         -6.9      3.258      8.019
   6         -6.9      2.743      8.896
   7         -6.8      2.462      6.933
   8         -6.8      3.599      8.910
   9         -6.7     15.157     21.196
  10         -6.7      2.744      9.122
  11         -6.7      3.051      7.798
  12         -6.6      3.012      8.402
  13         -6.6      3.299     10.443
  14         -6.6      2.744      9.274
  15         -6.6      3.458      9.266
  16         -6.5      2.580      8.172
  17         -6.5      2.474      7.434
  18         -6.4      4.055      9.125
  19         -6.3      4.041      9.353
  20         -6.2      4.132      9.088
Writing output ... done.