###################################################################
# 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: -2133722868
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         -7.0      3.250      6.075
   3         -6.9     21.976     29.134
   4         -6.9     24.657     28.619
   5         -6.9     25.050     30.330
   6         -6.9     23.631     27.947
   7         -6.8     25.607     32.423
   8         -6.8     24.627     28.621
   9         -6.8     24.820     29.815
  10         -6.7     24.876     31.792
  11         -6.7     22.200     29.391
  12         -6.7     24.702     29.335
  13         -6.7     24.754     29.271
  14         -6.7     22.792     29.806
  15         -6.6     27.112     32.632
  16         -6.6     23.572     27.717
  17         -6.6     24.793     31.800
  18         -6.6     26.711     31.115
  19         -6.6     25.002     29.581
  20         -6.4     26.649     30.392
Writing output ... done.