###################################################################
# 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: -658075468
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         -7.1     20.177     25.546
   3         -7.0     21.587     27.894
   4         -7.0     19.779     25.614
   5         -6.9     17.504     23.416
   6         -6.9     12.976     21.463
   7         -6.9     13.616     21.316
   8         -6.8     19.234     23.125
   9         -6.8     18.739     25.114
  10         -6.8     18.234     23.867
  11         -6.7     10.909     18.737
  12         -6.7     19.688     25.334
  13         -6.7     18.802     23.672
  14         -6.6     19.970     25.201
  15         -6.6     21.241     27.132
  16         -6.5     21.238     26.025
  17         -6.5     20.183     27.340
  18         -6.4     24.908     30.659
  19         -6.3     19.755     23.944
  20         -6.3      4.228      8.755
Writing output ... done.