###################################################################
# 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: -69272198
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.7      0.000      0.000
   2         -6.7     17.722     23.808
   3         -6.2      2.655      4.759
   4         -6.1     19.847     24.944
   5         -5.9     19.838     24.271
   6         -5.9     18.717     24.847
   7         -5.7     17.875     22.304
   8         -5.7     18.602     24.115
   9         -5.7     19.572     24.633
  10         -5.7     19.805     24.436
  11         -5.7      3.376      6.036
  12         -5.7     18.555     23.984
  13         -5.7     18.104     22.125
  14         -5.7     18.153     22.654
  15         -5.6     20.547     24.745
  16         -5.5      3.168      6.970
  17         -5.5      2.537      4.626
  18         -5.5      6.576     11.288
  19         -5.4      2.550      5.999
  20         -5.4      2.582      4.792
Writing output ... done.