###################################################################
# 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: -1683328047
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.0      0.000      0.000
   2         -6.8     26.624     31.121
   3         -6.6     29.752     35.715
   4         -6.6     28.266     35.244
   5         -6.6     25.485     29.637
   6         -6.6     26.456     31.379
   7         -6.5      4.976     10.734
   8         -6.5      2.894      6.210
   9         -6.5     29.029     33.439
  10         -6.5     26.540     32.732
  11         -6.5     25.084     30.813
  12         -6.5     29.791     33.917
  13         -6.3      3.367      8.070
  14         -6.3     24.683     32.015
  15         -6.3      3.786      7.762
  16         -6.3      5.117     11.704
  17         -6.3     29.572     35.221
  18         -6.3     28.670     34.803
  19         -6.2     25.085     31.791
  20         -6.1     26.080     32.324
Writing output ... done.