###################################################################
# 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: -122761954
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.7      0.000      0.000
   2         -6.6      2.754      4.675
   3         -6.5      3.468      5.418
   4         -6.4      3.729      6.532
   5         -6.3     16.813     24.108
   6         -6.3      3.589      6.835
   7         -6.1     18.252     23.129
   8         -6.1     19.151     26.198
   9         -6.0     19.893     24.102
  10         -5.9     17.199     25.461
  11         -5.9     20.116     27.016
  12         -5.9     21.088     25.827
  13         -5.9     19.940     27.264
  14         -5.9      3.814      5.992
  15         -5.9     19.063     26.256
  16         -5.9     20.029     27.003
  17         -5.9     17.592     24.952
  18         -5.8     20.223     26.652
  19         -5.8     19.578     24.388
  20         -5.7     19.679     26.845
Writing output ... done.