###################################################################
# 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: -276004249
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.1      0.000      0.000
   2         -6.0      4.719      8.585
   3         -5.9     20.455     25.209
   4         -5.9      4.559     10.153
   5         -5.8      3.521      6.711
   6         -5.8     22.315     27.471
   7         -5.8      3.635     10.504
   8         -5.7      3.703      8.908
   9         -5.7      3.500      6.775
  10         -5.7      5.727     10.816
  11         -5.7     22.064     27.405
  12         -5.6     20.952     25.670
  13         -5.6      2.740      5.208
  14         -5.6      5.164     14.980
  15         -5.6     22.613     28.046
  16         -5.5      9.658     16.104
  17         -5.5      3.508     12.487
  18         -5.5      4.609     12.037
  19         -5.5      4.137      7.553
  20         -5.4     23.296     28.908
Writing output ... done.