###################################################################
# 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: -697719292
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.6      0.000      0.000
   2         -6.5      6.610     12.452
   3         -6.2      2.410     10.384
   4         -6.0      9.337     15.232
   5         -6.0      3.742     10.139
   6         -5.9     25.939     31.244
   7         -5.9     23.650     30.045
   8         -5.9      3.992     13.104
   9         -5.8     26.299     32.425
  10         -5.7     24.752     28.591
  11         -5.7      6.618     11.939
  12         -5.6      5.759     10.586
  13         -5.5     23.252     29.512
  14         -5.5     32.718     38.286
  15         -5.5     26.813     31.540
  16         -5.4      4.328      8.941
  17         -5.4     26.830     33.394
  18         -5.3     27.517     32.459
  19         -5.3     27.589     32.453
  20         -5.3     24.116     29.806
Writing output ... done.