###################################################################
# 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: -1488716712
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         -6.6      2.242      9.627
   3         -6.6      2.619      6.438
   4         -6.6      2.462      6.251
   5         -6.5      2.412      6.561
   6         -6.5      3.136      7.637
   7         -6.4      2.427      8.564
   8         -6.4      2.325      8.575
   9         -6.3      2.209      5.309
  10         -6.2      2.655      8.424
  11         -6.1      2.393      8.149
  12         -6.1      2.207      5.673
  13         -6.1      2.361      7.798
  14         -6.1      2.692      7.016
  15         -6.1      2.421      5.491
  16         -6.0      3.050      7.967
  17         -6.0      2.350      8.957
  18         -6.0      2.332      6.706
  19         -6.0      2.130      5.677
  20         -5.9      2.645      7.039
Writing output ... done.