###################################################################
# 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: 1475000126
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -5.7      0.000      0.000
   2         -5.4      3.187      9.792
   3         -5.2     18.237     25.327
   4         -5.2     20.183     27.802
   5         -5.2     21.677     28.475
   6         -5.1     22.938     29.902
   7         -5.1     22.216     29.075
   8         -5.0     17.528     24.767
   9         -5.0     19.121     23.033
  10         -5.0     20.413     25.913
  11         -5.0      3.465      7.509
  12         -4.9      3.972      9.844
  13         -4.8     25.563     33.356
  14         -4.8     22.208     29.494
  15         -4.8      4.725     12.586
  16         -4.8      3.675      7.957
  17         -4.8     22.402     29.562
  18         -4.8      5.324     11.103
  19         -4.7     22.783     30.196
  20         -4.7     19.068     26.624
Writing output ... done.