###################################################################
# 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: 247620495
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.1      0.000      0.000
   2         -7.0      2.788      8.308
   3         -7.0      2.520      7.366
   4         -6.9      2.749      8.163
   5         -6.9      3.022      8.178
   6         -6.9      2.980      5.680
   7         -6.9      3.146      8.383
   8         -6.9      3.319      7.834
   9         -6.8      2.900      8.625
  10         -6.8      3.704     10.050
  11         -6.7      3.112      7.000
  12         -6.6      3.382      8.707
  13         -6.6      3.846      9.362
  14         -6.6      3.506      7.261
  15         -6.6      4.983     10.210
  16         -6.6      2.795      8.519
  17         -6.5      3.556      8.444
  18         -6.4      3.502      7.672
  19         -6.4      5.371     13.358
  20         -6.4      3.073      7.763
Writing output ... done.