###################################################################
# 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: -564319152
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.8      0.000      0.000
   2         -7.6      3.175     13.756
   3         -7.6      2.797      6.217
   4         -7.5      2.176     14.317
   5         -7.5      2.368      4.944
   6         -7.4      3.704     14.008
   7         -7.4      2.838      6.254
   8         -7.4      4.159      8.861
   9         -7.3      3.210      7.397
  10         -7.2      3.005      5.892
  11         -7.2      2.949      5.226
  12         -7.1      2.137      3.419
  13         -7.1      2.565      5.766
  14         -7.0      4.910      9.723
  15         -7.0      2.761      4.838
  16         -6.9      7.276     14.825
  17         -6.8      2.265      3.842
  18         -6.7      3.614     13.837
  19         -6.7      2.404      3.986
  20         -6.7      3.465     14.923
Writing output ... done.