###################################################################
# 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: -919717160
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.5      0.000      0.000
   2         -6.4     15.715     19.958
   3         -6.4     16.768     21.020
   4         -6.3     19.097     23.992
   5         -6.3      3.590      8.596
   6         -6.3      5.086     12.216
   7         -6.3     29.969     35.615
   8         -6.3     16.133     22.102
   9         -6.3     19.869     24.305
  10         -6.2      3.054     10.873
  11         -6.2     19.623     23.796
  12         -6.2     16.534     21.565
  13         -6.2      6.759     12.948
  14         -6.2      4.555      8.354
  15         -6.1      2.677     10.500
  16         -6.1     19.186     24.330
  17         -6.1     21.298     25.962
  18         -6.1     19.960     24.169
  19         -6.1     21.203     25.146
  20         -6.0     29.944     35.226
Writing output ... done.