###################################################################
# 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: 2073455100
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -4.9      0.000      0.000
   2         -4.7      5.883     10.788
   3         -4.7     27.768     30.888
   4         -4.5      3.996      5.904
   5         -4.5      3.213      7.890
   6         -4.5     27.346     31.333
   7         -4.5     28.194     33.868
   8         -4.4      7.643     12.783
   9         -4.4      6.131     11.578
  10         -4.3     21.705     27.142
  11         -4.2      4.392      9.837
  12         -4.2     28.304     33.379
  13         -4.2      5.865     11.071
  14         -4.1      3.561      8.140
  15         -4.1     23.815     29.206
  16         -4.1     25.583     30.835
  17         -4.1     26.415     30.609
  18         -4.0      5.712     10.724
  19         -3.9     25.451     29.625
  20         -3.9      3.287      7.543
Writing output ... done.