###################################################################
# 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: -796198790
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.2      0.000      0.000
   2         -6.9      4.001     12.865
   3         -6.9     23.586     31.740
   4         -6.8      5.143     12.784
   5         -6.8     28.066     33.844
   6         -6.8     31.255     36.803
   7         -6.7      3.293     12.461
   8         -6.6      3.347      6.110
   9         -6.6      5.232     10.557
  10         -6.6     28.718     32.498
  11         -6.5     27.372     33.225
  12         -6.5     24.263     31.267
  13         -6.5      6.251     16.067
  14         -6.5      5.668     12.754
  15         -6.5     35.053     39.323
  16         -6.4     27.828     31.951
  17         -6.4     25.791     31.209
  18         -6.4     31.867     36.686
  19         -6.4     24.960     29.151
  20         -6.3     30.732     36.001
Writing output ... done.