###################################################################
# 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: 1030595837
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.2      0.000      0.000
   2         -6.5      2.653      6.796
   3         -6.3      2.484      5.419
   4         -6.3      2.617      6.092
   5         -6.3      2.158      5.062
   6         -6.3      2.188      6.223
   7         -6.2      2.300      7.785
   8         -6.1      2.496      7.192
   9         -6.1      2.235      7.546
  10         -6.1      2.559      8.622
  11         -6.1      2.452      6.785
  12         -6.1      2.554      8.885
  13         -6.1      2.636      8.077
  14         -6.0      2.538      6.594
  15         -6.0      2.495      5.359
  16         -6.0      2.524      6.615
  17         -5.9      3.072      6.078
  18         -5.9      2.150      5.350
  19         -5.9      2.420      6.657
  20         -5.8      3.135      6.847
Writing output ... done.