###################################################################
# 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: 229779018
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         -6.3      3.040      6.887
   3         -6.2      4.281     11.307
   4         -6.1     21.921     26.534
   5         -6.1      4.134     11.243
   6         -6.1      2.618      6.566
   7         -6.0     21.713     25.431
   8         -6.0      7.104     12.478
   9         -6.0      3.200     11.925
  10         -6.0      7.530     11.755
  11         -5.8      2.832      7.196
  12         -5.8      2.700     10.946
  13         -5.8      4.290     10.236
  14         -5.8     22.463     26.847
  15         -5.7      3.571      8.555
  16         -5.7     19.993     23.985
  17         -5.7      2.407      7.437
  18         -5.6      2.486      6.478
  19         -5.6      2.781      7.137
  20         -5.5     10.213     18.562
Writing output ... done.