###################################################################
# 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: 1281920928
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.8      0.000      0.000
   2         -7.5     21.437     25.279
   3         -7.2      1.837      2.395
   4         -6.8     20.418     24.763
   5         -6.7     19.329     24.054
   6         -6.7     19.822     25.279
   7         -6.7     20.347     27.146
   8         -6.6     19.019     24.145
   9         -6.6     20.416     28.018
  10         -6.6      2.942      6.374
  11         -6.5      2.384     12.470
  12         -6.5     19.428     25.280
  13         -6.5     18.932     25.229
  14         -6.4     20.289     24.749
  15         -6.4      5.279     11.393
  16         -6.4     20.573     23.577
  17         -6.4      5.261     11.976
  18         -6.4     21.691     25.788
  19         -6.4     20.742     25.449
  20         -6.3      2.425      5.334
Writing output ... done.