###################################################################
# 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: -1432987734
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         -7.1     25.688     32.077
   3         -7.0      4.293      9.278
   4         -6.9     18.826     23.038
   5         -6.9      4.404     13.925
   6         -6.8      3.797      7.517
   7         -6.8      3.476     13.874
   8         -6.8      3.895      7.215
   9         -6.7      3.502      7.436
  10         -6.7      3.565      6.430
  11         -6.6      4.468      8.917
  12         -6.5     20.540     25.429
  13         -6.5      3.153     13.775
  14         -6.5     30.010     33.669
  15         -6.5      3.481      7.098
  16         -6.5      3.540      8.195
  17         -6.5      3.707      6.090
  18         -6.4      4.352      8.531
  19         -6.4      7.747     13.383
  20         -6.3      3.232      5.718
Writing output ... done.