###################################################################
# 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: -1264082718
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.8      0.000      0.000
   2         -6.6      5.570     10.270
   3         -6.6      2.880      5.986
   4         -6.6      3.113      7.022
   5         -6.5      2.867     14.961
   6         -6.4      2.444     12.937
   7         -6.4     22.463     31.293
   8         -6.4      5.196     11.404
   9         -6.4     18.741     24.867
  10         -6.4     18.662     23.992
  11         -6.2      2.713     14.078
  12         -6.2     18.641     22.884
  13         -6.2      3.620     14.904
  14         -6.2     18.982     24.719
  15         -6.1      3.935     13.459
  16         -6.1     19.291     23.570
  17         -6.0     19.573     25.008
  18         -6.0      5.366     11.502
  19         -6.0     18.334     21.549
  20         -5.9      3.465      6.756
Writing output ... done.