###################################################################
# 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: 574909376
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.2      0.000      0.000
   2         -7.0     22.375     25.540
   3         -6.9      3.782     11.345
   4         -6.8      4.154      7.594
   5         -6.8      2.533     14.087
   6         -6.7      3.719      8.073
   7         -6.6      3.263      8.675
   8         -6.6      2.875      6.046
   9         -6.6      2.617     12.880
  10         -6.6      3.380      8.610
  11         -6.5      2.897     14.610
  12         -6.5      2.578     14.817
  13         -6.5     21.235     24.339
  14         -6.4      4.811      9.309
  15         -6.4      2.790      6.373
  16         -6.4      3.471      7.934
  17         -6.3      2.711      4.915
  18         -6.3      3.041      6.631
  19         -6.2      3.100     11.748
Writing output ... done.