###################################################################
# 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: -535269717
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.2      0.000      0.000
   2         -7.2      3.849     11.979
   3         -7.0      2.781     13.330
   4         -6.9      2.864     12.475
   5         -6.9      3.649      6.179
   6         -6.9      3.358     10.972
   7         -6.9      3.047      7.572
   8         -6.7      4.218      8.031
   9         -6.7      3.861     14.253
  10         -6.6      2.820     13.220
  11         -6.5      3.612     14.868
  12         -6.5      2.548     12.621
  13         -6.5      4.282     12.585
  14         -6.5      2.495     13.704
  15         -6.5      4.874     10.715
  16         -6.4     17.951     25.980
  17         -6.3      2.699     13.511
  18         -6.3      4.593     14.277
  19         -6.3      2.866     14.128
  20         -6.2      3.307      6.566
Writing output ... done.