###################################################################
# 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: -509289210
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.4      0.000      0.000
   2         -6.2     18.716     23.621
   3         -6.2      3.103     11.509
   4         -6.1     14.854     20.288
   5         -6.0     16.283     21.325
   6         -6.0      2.428     11.393
   7         -6.0     16.224     22.498
   8         -5.9     14.863     22.278
   9         -5.9     19.847     24.324
  10         -5.9     16.420     22.670
  11         -5.9     18.230     22.747
  12         -5.9     19.220     26.514
  13         -5.9     17.373     24.887
  14         -5.8     16.604     22.962
  15         -5.8     19.348     23.971
  16         -5.7     14.896     22.157
  17         -5.7     15.607     20.644
  18         -5.7     16.316     23.041
  19         -5.6     16.616     22.136
  20         -5.5     16.883     22.654
Writing output ... done.