###################################################################
# 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: 1484195500
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.7      0.000      0.000
   2         -6.6      3.162     13.452
   3         -6.6      8.329     16.473
   4         -6.6      4.856     14.224
   5         -6.6     25.477     30.276
   6         -6.6     24.067     28.994
   7         -6.6     13.898     22.098
   8         -6.6     25.944     30.299
   9         -6.5     23.062     25.990
  10         -6.5     24.749     28.860
  11         -6.5     14.577     22.053
  12         -6.5      5.164      9.563
  13         -6.4      9.675     19.269
  14         -6.4     26.855     31.208
  15         -6.4     28.598     34.072
  16         -6.3     21.844     29.471
  17         -6.3     23.418     30.193
  18         -6.3     10.443     18.724
  19         -6.2      3.219      6.447
  20         -6.1      5.481     15.461
Writing output ... done.