###################################################################
# 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: 918517598
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.7      0.000      0.000
   2         -6.6      3.055     10.626
   3         -6.6     21.264     29.544
   4         -6.6     19.661     24.691
   5         -6.5      2.707      4.822
   6         -6.5      3.226     14.494
   7         -6.4      3.210     13.986
   8         -6.4     24.217     31.297
   9         -6.4     24.955     32.566
  10         -6.4     23.875     29.895
  11         -6.4     20.361     27.356
  12         -6.3     26.635     33.615
  13         -6.3      3.049      5.010
  14         -6.2      2.909      6.684
  15         -6.1     23.686     33.561
  16         -6.1     21.590     28.738
  17         -6.1     23.667     33.609
  18         -6.0      4.920      8.499
  19         -6.0     19.083     22.350
  20         -5.9      3.067     10.622
Writing output ... done.