###################################################################
# 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: -1684746770
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.0      0.000      0.000
   2         -6.9     20.713     23.995
   3         -6.9     21.932     25.118
   4         -6.9      3.944     16.576
   5         -6.8      4.270      8.376
   6         -6.8      3.937     11.984
   7         -6.8      4.422      7.982
   8         -6.8      5.235     11.473
   9         -6.7      4.854     14.132
  10         -6.7      6.174     13.873
  11         -6.6      3.462      7.053
  12         -6.6      3.929     14.607
  13         -6.6      4.333     10.224
  14         -6.5      3.482      8.013
  15         -6.4     24.854     27.807
  16         -6.4      4.719     10.363
  17         -6.4     21.002     25.954
  18         -6.4     19.719     25.389
  19         -6.4      2.904     14.693
  20         -6.4      5.251     10.116
Writing output ... done.