###################################################################
# 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: -1463306748
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -5.8      0.000      0.000
   2         -5.5     27.652     35.500
   3         -5.5      9.503     15.503
   4         -5.5     31.631     35.001
   5         -5.5     29.994     34.504
   6         -5.5     29.803     34.452
   7         -5.5     32.506     35.917
   8         -5.5      5.356     11.480
   9         -5.4      8.169     14.087
  10         -5.4     30.667     35.928
  11         -5.4      7.554     15.177
  12         -5.4      9.724     15.063
  13         -5.3     29.109     36.061
  14         -5.3      7.087     13.425
  15         -5.2     32.932     37.532
  16         -5.2      9.405     13.971
  17         -5.2     30.645     36.048
  18         -5.2     26.235     33.087
  19         -5.1     10.011     15.683
  20         -5.1     35.005     39.922
Writing output ... done.