###################################################################
# 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: -524021304
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         -8.2     28.384     31.904
   3         -7.9     27.723     31.351
   4         -7.9     23.851     27.841
   5         -7.9      7.226     15.246
   6         -7.9     24.539     28.598
   7         -7.8     23.520     29.636
   8         -7.7      7.920     14.830
   9         -7.7     29.258     34.708
  10         -7.6      5.943     16.891
  11         -7.6      4.930      9.679
  12         -7.6     24.456     28.910
  13         -7.6     29.617     33.989
  14         -7.5     24.101     27.585
  15         -7.5     28.690     34.990
  16         -7.5     21.158     28.035
  17         -7.4     24.130     29.547
  18         -7.4     23.974     28.302
  19         -7.4     22.337     26.401
  20         -7.4     22.555     26.987
Writing output ... done.