###################################################################
# 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: -1828343930
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.0      0.000      0.000
   2         -7.9      2.559      5.351
   3         -7.7      3.261     11.271
   4         -7.4      3.895      7.656
   5         -7.4      2.654      4.719
   6         -7.3      3.202      7.673
   7         -7.3      3.007      5.875
   8         -7.3     22.192     25.295
   9         -7.2     23.493     27.166
  10         -7.2     23.134     27.831
  11         -7.2      3.409      6.910
  12         -7.2      3.085     11.473
  13         -7.1      2.367      6.171
  14         -7.0      2.745      8.638
  15         -7.0      4.279      7.823
  16         -6.9      3.158     11.793
  17         -6.9      7.339     13.476
  18         -6.9      2.382      4.682
  19         -6.6     21.716     27.011
Writing output ... done.