###################################################################
# 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: -1185726484
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         -6.5      8.546     17.001
   3         -6.5     16.683     22.720
   4         -6.4     13.447     18.295
   5         -6.2      2.107      3.582
   6         -6.1      3.037     10.516
   7         -6.1     22.968     29.853
   8         -6.0     18.494     24.846
   9         -5.9     19.889     25.898
  10         -5.9      7.216     15.438
  11         -5.8     27.238     31.626
  12         -5.8      7.949     15.545
  13         -5.8     19.362     25.423
  14         -5.8     21.573     28.982
  15         -5.7     16.208     24.266
  16         -5.7     17.156     25.197
  17         -5.7     20.037     24.918
  18         -5.7     19.064     25.751
  19         -5.6     27.454     31.956
  20         -5.5     20.614     27.160
Writing output ... done.