###################################################################
# 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: -1173530649
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         -7.2      4.205      7.716
   3         -7.1      3.077     15.426
   4         -7.1      3.548     12.620
   5         -7.1     17.174     21.697
   6         -7.0      1.762      2.087
   7         -6.9      3.111     14.732
   8         -6.8      3.063     15.071
   9         -6.8      1.724      3.166
  10         -6.7     18.210     22.206
  11         -6.7      3.628     11.937
  12         -6.7      3.523     14.454
  13         -6.7      5.059     14.429
  14         -6.6     19.109     25.117
  15         -6.6      6.269     11.160
  16         -6.4      3.701      7.208
  17         -6.4      3.449     14.890
  18         -6.4      3.104     10.917
  19         -6.4     17.573     21.887
  20         -6.3     19.002     23.433
Writing output ... done.