###################################################################
# 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: 598959964
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.2      0.000      0.000
   2         -6.0      2.623      5.129
   3         -5.9     24.961     33.000
   4         -5.8     21.823     31.124
   5         -5.8     21.558     25.759
   6         -5.7     23.719     36.853
   7         -5.7     20.592     32.433
   8         -5.6      4.190      8.962
   9         -5.6     21.858     27.603
  10         -5.6     21.408     29.676
  11         -5.6      5.292      8.989
  12         -5.6      2.432      4.175
  13         -5.6      5.046     15.076
  14         -5.4     23.265     30.270
  15         -5.4     21.857     32.141
  16         -5.3     26.589     34.515
  17         -5.3     20.019     24.982
  18         -5.2      3.122      5.972
  19         -5.2     23.831     30.756
  20         -5.2     22.824     29.359
Writing output ... done.