###################################################################
# 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: 550272184
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.2      0.000      0.000
   2         -7.5      2.549     11.314
   3         -7.4      5.603     13.932
   4         -7.3      6.668     11.761
   5         -7.3     19.231     24.009
   6         -7.3      7.349     10.951
   7         -7.2      3.371      7.892
   8         -7.2      4.042      9.390
   9         -7.2      3.477      8.385
  10         -7.1      2.055      3.904
  11         -7.0      3.799     11.496
  12         -6.9     21.624     27.610
  13         -6.8      3.595      7.494
  14         -6.8      5.143     12.596
  15         -6.7      2.853      8.057
  16         -6.6     20.710     26.275
  17         -6.6      7.460     14.731
  18         -6.6     22.138     27.904
  19         -6.5      3.813     12.129
  20         -6.5     22.781     27.268
Writing output ... done.