###################################################################
# 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: -727959832
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.9      0.000      0.000
   2         -6.8      4.261      8.820
   3         -6.7      2.485      9.033
   4         -6.7      2.390      8.209
   5         -6.6      2.484      6.387
   6         -6.5      2.515      5.850
   7         -6.4     11.198     16.492
   8         -6.4      4.287      8.724
   9         -6.4      2.521      8.287
  10         -6.4      3.085      8.888
  11         -6.4      2.145      6.931
  12         -6.3      2.355      9.028
  13         -6.3      2.561      8.916
  14         -6.2      2.843      7.323
  15         -6.2      2.382      8.862
  16         -6.2      3.337     10.115
  17         -6.1      2.281      6.462
  18         -6.1      2.395      6.408
  19         -6.1      3.154      9.170
  20         -5.8      4.405     10.822
Writing output ... done.