###################################################################
# 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: -884772864
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         -6.6      2.295      6.422
   3         -6.6      4.858      7.685
   4         -6.6      3.487      6.807
   5         -6.5      2.961      8.265
   6         -6.4      5.448      8.845
   7         -6.3      2.780      7.479
   8         -6.3      2.852      8.268
   9         -6.2      2.722      5.685
  10         -6.2      3.028      6.940
  11         -6.1      2.433      5.401
  12         -6.1      3.288      7.244
  13         -6.1      2.493      5.665
  14         -6.1      3.164      7.461
  15         -6.1      2.973      7.662
  16         -6.0      2.860      9.865
  17         -6.0      2.585      6.919
  18         -6.0      2.938      5.885
  19         -5.9      5.170      9.175
  20         -5.8      4.715      8.890
Writing output ... done.