###################################################################
# 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: 2052269890
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.3      0.000      0.000
   2         -5.9     21.714     28.393
   3         -5.8     14.626     21.342
   4         -5.8      3.595     11.575
   5         -5.8      7.225     12.366
   6         -5.7     14.892     21.243
   7         -5.7      2.486      5.028
   8         -5.7      3.909      8.258
   9         -5.6     17.778     23.204
  10         -5.6      4.171      7.504
  11         -5.6      2.589      4.238
  12         -5.6      3.351      7.674
  13         -5.5     20.184     23.643
  14         -5.5     15.088     22.286
  15         -5.5     21.403     25.102
  16         -5.5     22.097     28.726
  17         -5.4      2.796     11.282
  18         -5.4     12.668     19.572
  19         -5.4     22.897     29.415
  20         -5.3      2.867     11.584
Writing output ... done.