###################################################################
# 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: -1696619574
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.2      0.000      0.000
   2         -8.2      8.472     15.083
   3         -8.1      7.275     12.574
   4         -7.9      9.684     16.532
   5         -7.8      8.820     13.792
   6         -7.7      8.688     15.554
   7         -7.7     11.250     17.889
   8         -7.7     10.783     17.610
   9         -7.7      7.221     12.743
  10         -7.7      7.156     12.402
  11         -7.5      5.221     11.935
  12         -7.5      6.996     12.312
  13         -7.5     10.630     17.208
  14         -7.4      8.055     13.236
  15         -7.4      5.575     11.152
  16         -7.3      9.720     14.540
  17         -7.3      5.202     12.609
  18         -7.3     10.983     17.808
  19         -7.3      6.210     10.591
  20         -7.2      4.368      9.642
Writing output ... done.