###################################################################
# 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: -773461636
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.2      0.000      0.000
   2         -6.1      2.421      7.307
   3         -6.0      3.052      7.216
   4         -5.9      3.115      7.325
   5         -5.8      2.713      6.744
   6         -5.8      2.678      9.441
   7         -5.8      3.328      7.819
   8         -5.7      2.221      6.214
   9         -5.7      5.362      9.074
  10         -5.7      2.631      9.937
  11         -5.7      2.379      6.372
  12         -5.5      2.866      6.726
  13         -5.5      3.181      7.227
  14         -5.4      2.530      5.664
  15         -5.4      2.984      8.561
  16         -5.4      3.699     10.222
  17         -5.4      2.159      8.866
  18         -5.2      3.524      8.317
  19         -5.1      2.354      6.897
  20         -5.1      3.259      7.519
Writing output ... done.