###################################################################
# 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: -1328991055
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.1      0.000      0.000
   2         -6.1      2.548     11.395
   3         -6.0      3.010      6.144
   4         -6.0      2.191      2.980
   5         -5.9      3.909      8.812
   6         -5.8     18.486     26.290
   7         -5.7      2.566      6.023
   8         -5.7     18.287     25.066
   9         -5.7     17.681     25.397
  10         -5.6     17.873     25.833
  11         -5.6     19.768     29.068
  12         -5.6      3.103     11.178
  13         -5.6     19.454     27.848
  14         -5.6      2.863     10.536
  15         -5.5      2.554     11.973
  16         -5.5     24.832     32.447
  17         -5.4      2.748     11.909
  18         -5.4      3.163      6.656
  19         -5.2      2.837     11.882
Writing output ... done.