###################################################################
# 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: -156618182
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.4      0.000      0.000
   2         -6.0     18.144     24.725
   3         -5.8     17.230     20.647
   4         -5.8     16.464     21.764
   5         -5.7     17.465     20.829
   6         -5.7     21.804     27.875
   7         -5.6     16.146     21.680
   8         -5.6      3.568      8.678
   9         -5.6      5.520     10.428
  10         -5.5     15.758     19.044
  11         -5.5     16.470     21.329
  12         -5.5     18.737     23.381
  13         -5.5     20.093     25.559
  14         -5.5     18.132     21.744
  15         -5.4     14.933     23.439
  16         -5.4     16.810     19.862
  17         -5.4      9.045     17.034
  18         -5.3     21.880     26.111
  19         -5.3     17.818     21.329
  20         -5.2     17.435     21.677
Writing output ... done.