###################################################################
# 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: -666840916
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         -5.9     26.589     30.934
   3         -5.9     21.164     25.907
   4         -5.9     24.966     31.410
   5         -5.8     19.878     23.702
   6         -5.7     19.831     25.641
   7         -5.6     18.848     24.086
   8         -5.6     19.074     22.952
   9         -5.5      3.940      9.599
  10         -5.5     21.519     26.160
  11         -5.5     14.050     18.936
  12         -5.5      4.985     12.039
  13         -5.5     21.875     26.213
  14         -5.4     19.711     25.213
  15         -5.4     21.216     25.030
  16         -5.4     24.908     28.678
  17         -5.4     18.939     23.036
  18         -5.3     21.663     25.500
  19         -5.3      9.058     13.129
  20         -5.3      4.268     11.347
Writing output ... done.