###################################################################
# 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: -1530079008
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         -6.9      6.914     14.804
   3         -6.9      4.500     12.047
   4         -6.6      8.437     13.741
   5         -6.6      5.925     10.796
   6         -6.6     25.515     33.709
   7         -6.6     21.897     27.849
   8         -6.5     19.024     26.805
   9         -6.5     22.994     30.279
  10         -6.5      2.749     11.438
  11         -6.4     20.920     24.835
  12         -6.4     21.139     27.029
  13         -6.3     29.940     37.821
  14         -6.3      6.841     13.966
  15         -6.3     19.336     27.263
  16         -6.3     18.915     23.406
  17         -6.3     20.746     28.903
  18         -6.3     20.474     28.487
  19         -6.2      7.117     13.222
  20         -6.1     16.604     21.456
Writing output ... done.