###################################################################
# 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: -526968446
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.2      0.000      0.000
   2         -8.2      2.876      9.520
   3         -7.8      2.904      7.558
   4         -7.7      2.944      8.911
   5         -7.7      2.974      9.078
   6         -7.6      2.687      7.529
   7         -7.5      2.509      8.569
   8         -7.4      3.604      8.132
   9         -7.4      2.338      6.857
  10         -7.4      2.974      7.727
  11         -7.3      3.062      9.129
  12         -7.3      4.006      9.589
  13         -7.3      2.730      6.993
  14         -7.2      3.964      8.260
  15         -7.2      3.226      7.990
  16         -7.2      3.622     10.186
  17         -7.1      2.811      7.031
  18         -7.0      3.056      7.982
  19         -6.9      4.698     12.492
  20         -6.9      3.708      7.346
Writing output ... done.