###################################################################
# 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: 1162754804
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      3.780      8.328
   3         -5.9     12.929     17.635
   4         -5.9      3.310      6.055
   5         -5.9      6.746     11.474
   6         -5.9      4.437     12.904
   7         -5.8      4.575     10.211
   8         -5.7      3.238      7.002
   9         -5.6      2.932      6.834
  10         -5.6     15.965     21.054
  11         -5.6      4.397     10.113
  12         -5.6      3.333      6.236
  13         -5.6      2.858      6.766
  14         -5.6      4.844      8.821
  15         -5.3      3.026      7.438
  16         -5.3      5.518      9.602
  17         -5.3      3.155      6.070
  18         -5.2     15.363     20.977
  19         -5.2      5.375     13.801
  20         -5.2      3.108     11.889
Writing output ... done.