###################################################################
# 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: -1455371423
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.9      0.000      0.000
   2         -6.5      2.702      7.699
   3         -6.5     20.299     25.771
   4         -6.4      3.283     14.519
   5         -6.3      2.816      7.252
   6         -6.2     21.130     26.107
   7         -6.2     18.045     25.138
   8         -6.2     18.799     25.203
   9         -6.2     19.045     28.523
  10         -6.1     18.296     25.682
  11         -6.1      2.505      5.371
  12         -6.1      2.368     11.639
  13         -6.1      2.981     10.795
  14         -6.1     18.336     25.331
  15         -6.1      2.943     10.223
  16         -6.0     24.071     32.007
  17         -6.0      4.483      9.864
  18         -5.9      2.695      5.426
  19         -5.9      3.056     11.789
  20         -5.8     24.811     30.390
Writing output ... done.