###################################################################
# 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: 36711330
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.6      0.000      0.000
   2         -6.4      6.105     13.557
   3         -6.1      8.896     15.771
   4         -5.9      6.554     12.280
   5         -5.9      3.207     10.739
   6         -5.9     17.986     21.624
   7         -5.8      2.362      4.725
   8         -5.8      4.682      9.586
   9         -5.8      3.745      8.614
  10         -5.8      3.035     10.305
  11         -5.7     17.700     21.000
  12         -5.7     14.275     20.207
  13         -5.6     20.319     26.051
  14         -5.6      2.882      4.511
  15         -5.6      5.144      9.470
  16         -5.5      3.574      7.476
  17         -5.5      4.263     12.408
  18         -5.5     24.932     30.982
  19         -5.4      4.259     11.868
  20         -5.3      4.663     12.163
Writing output ... done.