###################################################################
# 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: 1598375187
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.0      0.000      0.000
   2         -8.0      2.626     12.674
   3         -8.0      3.420     12.103
   4         -8.0      3.407     12.742
   5         -7.9      4.759     14.423
   6         -7.9      2.884      6.268
   7         -7.8      4.527     11.653
   8         -7.8      4.298     11.652
   9         -7.8      3.427     12.751
  10         -7.7      4.820     11.372
  11         -7.7      3.512     12.857
  12         -7.6      3.293     13.379
  13         -7.6      2.450      6.363
  14         -7.6      4.759     14.007
  15         -7.5      2.949     13.293
  16         -7.5      3.652      8.301
  17         -7.4      3.227     12.312
  18         -7.4      2.767     13.453
  19         -7.4      4.261     11.072
  20         -7.3      2.708      5.829
Writing output ... done.