###################################################################
# 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: 1085179119
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.8      0.000      0.000
   2         -7.6      2.905      5.423
   3         -7.2      3.248     10.587
   4         -7.1      3.365     12.981
   5         -7.0      4.276      9.171
   6         -7.0      2.665      6.914
   7         -7.0      3.219      6.222
   8         -6.9      3.197     12.544
   9         -6.8      5.253      9.587
  10         -6.8     19.744     24.657
  11         -6.8     22.385     26.011
  12         -6.7      2.525      5.775
  13         -6.7      4.062      7.923
  14         -6.7      3.996     13.686
  15         -6.7      2.852      7.211
  16         -6.6     20.356     24.883
  17         -6.6      2.814     12.602
  18         -6.6     25.107     30.402
  19         -6.5     22.724     26.475
  20         -6.5      3.100      6.871
Writing output ... done.