###################################################################
# 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: -2095865712
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -9.7      0.000      0.000
   2         -9.2      1.910      4.057
   3         -9.1      3.162     17.436
   4         -9.1      2.467      4.913
   5         -9.1      2.180      4.120
   6         -9.1      2.216      5.793
   7         -9.1      2.317      5.352
   8         -8.8      3.607     17.035
   9         -8.8      2.884     17.787
  10         -8.8      2.347      6.204
  11         -8.8      2.419      5.608
  12         -8.7      2.468     17.035
  13         -8.7      1.984      4.609
  14         -8.6      2.944     17.209
  15         -8.5      6.063     11.802
  16         -8.5      3.012     17.153
  17         -8.5      2.885     17.897
  18         -8.5      1.932      2.599
  19         -8.5      2.360      5.042
  20         -8.5      3.932     18.059
Writing output ... done.