###################################################################
# 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: -1121529066
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.8      0.000      0.000
   2         -6.8      5.154     12.283
   3         -6.8     10.009     16.606
   4         -6.6      3.015     10.479
   5         -6.5      3.196      6.286
   6         -6.5     22.984     26.533
   7         -6.5     18.173     26.015
   8         -6.4     12.115     20.158
   9         -6.3      3.202      6.374
  10         -6.2      8.187     15.946
  11         -6.2      5.722      9.903
  12         -6.2      3.299     10.786
  13         -6.2     23.393     29.939
  14         -6.1     19.332     26.228
  15         -6.1     10.451     16.191
  16         -6.1     22.797     30.476
  17         -6.1     21.054     28.903
  18         -6.1     17.795     22.869
  19         -6.0     22.331     28.857
  20         -5.9     17.020     22.574
Writing output ... done.