###################################################################
# 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: -1241961990
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.0      0.000      0.000
   2         -6.0     20.567     25.606
   3         -5.9      2.952     11.655
   4         -5.9     20.574     24.363
   5         -5.8     20.021     25.638
   6         -5.8     20.382     24.769
   7         -5.7      3.589     11.077
   8         -5.7     21.118     24.736
   9         -5.6     19.851     24.935
  10         -5.6     21.619     25.534
  11         -5.5     20.328     26.217
  12         -5.4     19.790     26.114
  13         -5.3     20.800     24.955
  14         -5.3     19.663     24.691
  15         -5.3     21.648     25.287
  16         -5.2     20.008     25.072
  17         -5.2      3.062      9.520
  18         -5.2      3.327      8.802
  19         -5.2      3.542      9.744
  20         -5.1     20.345     25.623
Writing output ... done.