###################################################################
# 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: -1637748404
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.1      0.000      0.000
   2         -6.8      4.107     11.812
   3         -6.7     21.783     29.221
   4         -6.7      3.453      8.245
   5         -6.6     23.098     32.171
   6         -6.6     20.612     28.059
   7         -6.6     18.326     24.794
   8         -6.5     24.768     32.383
   9         -6.4     19.498     26.796
  10         -6.4      2.635      6.396
  11         -6.3     26.024     34.883
  12         -6.3      2.969      7.138
  13         -6.3     18.571     26.176
  14         -6.2     23.329     32.294
  15         -6.2      4.009      8.196
  16         -6.1      4.179      9.851
  17         -6.0     22.926     31.806
  18         -6.0     19.431     26.795
  19         -6.0     20.525     29.016
  20         -5.9      6.902     14.468
Writing output ... done.