###################################################################
# 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: -1697457291
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.8      0.000      0.000
   2         -7.2      2.300     13.750
   3         -7.1      3.082      5.481
   4         -6.9      2.658     12.759
   5         -6.9      3.561     15.166
   6         -6.9      2.590     12.541
   7         -6.9      2.293     13.129
   8         -6.8      2.210     13.571
   9         -6.8      2.284      4.839
  10         -6.8      5.068     13.421
  11         -6.7      2.627     13.396
  12         -6.7      2.635     12.529
  13         -6.7      2.291     12.705
  14         -6.6      2.903      6.330
  15         -6.6      3.841     15.782
  16         -6.6      4.317      9.166
  17         -6.6      2.242      5.016
  18         -6.5      3.228     14.710
  19         -6.5      2.291      4.114
  20         -6.4      3.170      7.403
Writing output ... done.