###################################################################
# 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: -2082994634
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.4      0.000      0.000
   2         -6.9     14.132     23.993
   3         -6.9      4.612     10.216
   4         -6.8      3.236     14.697
   5         -6.7      4.452      8.218
   6         -6.7     19.363     25.143
   7         -6.7      5.083      9.077
   8         -6.7      2.966     14.456
   9         -6.6     16.974     25.597
  10         -6.6      4.187     13.418
  11         -6.6     18.813     25.497
  12         -6.6      4.309     14.127
  13         -6.5      4.049     13.203
  14         -6.5      7.327     18.502
  15         -6.5      3.105     14.665
  16         -6.5      2.450     15.166
  17         -6.5     18.238     23.862
  18         -6.4     20.754     28.143
  19         -6.3      4.146     11.202
  20         -6.3     27.629     31.307
Writing output ... done.