###################################################################
# 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: -585388350
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.4      0.000      0.000
   2         -8.3      4.541     16.385
   3         -8.3      3.243      6.036
   4         -8.2      1.775      2.427
   5         -8.2      8.860     14.843
   6         -8.2      2.118      3.044
   7         -8.1      2.617     15.998
   8         -8.0      2.383      4.887
   9         -8.0      2.637      5.773
  10         -8.0      2.646     15.336
  11         -7.9      3.065     15.781
  12         -7.9      2.569      5.130
  13         -7.8      2.341      4.810
  14         -7.8      1.672      2.622
  15         -7.8      2.812      6.171
  16         -7.7      5.494     17.101
  17         -7.7      2.531      4.776
  18         -7.7      2.224      3.897
  19         -7.5      2.063      3.258
Writing output ... done.