###################################################################
# 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: 300190936
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.1      0.000      0.000
   2         -6.8     22.057     30.989
   3         -6.5     19.371     25.557
   4         -6.4     22.340     28.099
   5         -6.4     21.667     32.579
   6         -6.3      4.392      7.044
   7         -6.3     23.700     30.577
   8         -6.2     13.039     26.973
   9         -6.1     22.298     29.869
  10         -6.1      2.523     15.235
  11         -6.1     22.110     29.680
  12         -6.1     22.467     35.176
  13         -6.1     21.792     33.933
  14         -6.1     12.846     21.005
  15         -6.1      3.130     16.660
  16         -6.1      2.852      5.969
  17         -6.1      2.986     16.692
  18         -6.1     21.924     33.487
  19         -6.1     22.575     32.475
  20         -6.1     32.928     41.312
Writing output ... done.