###################################################################
# 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: -974725934
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         -6.9     23.921     29.369
   3         -6.8     26.947     31.444
   4         -6.8     24.695     31.976
   5         -6.7     27.749     33.510
   6         -6.6      3.355      5.525
   7         -6.5      6.226     11.030
   8         -6.5      3.260      5.205
   9         -6.5     20.769     26.125
  10         -6.5     26.840     33.182
  11         -6.4      4.424      8.440
  12         -6.4     23.668     29.338
  13         -6.4     23.428     32.854
  14         -6.4     25.104     29.464
  15         -6.4     25.096     30.529
  16         -6.3      5.472     10.232
  17         -6.3     25.156     31.033
  18         -6.3      5.835     11.158
  19         -6.2     21.207     27.302
  20         -6.2      7.584     12.224
Writing output ... done.