###################################################################
# 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: -1951777495
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      5.331     13.498
   3         -6.5      6.628     13.016
   4         -6.5      7.923     14.333
   5         -6.4      6.878     14.422
   6         -6.4      6.459     13.120
   7         -6.3      5.841     11.808
   8         -6.3      5.714     12.991
   9         -6.3      5.924     11.887
  10         -6.2     29.022     37.568
  11         -6.2      7.667     14.106
  12         -6.2     29.886     34.896
  13         -6.1      6.182     13.832
  14         -6.0      5.566     13.443
  15         -6.0      6.041     11.771
  16         -6.0      6.816     13.015
  17         -6.0      7.796     14.830
  18         -5.9      4.993     12.079
  19         -5.8      7.157     13.358
  20         -5.7     23.039     26.707
Writing output ... done.