###################################################################
# 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: 1853862928
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.2      0.000      0.000
   2         -8.1      4.626      8.159
   3         -8.1      2.929      5.535
   4         -8.1      4.572     16.373
   5         -8.0      6.212     19.637
   6         -8.0      5.132      9.271
   7         -8.0      4.585     10.468
   8         -8.0      3.060     15.864
   9         -7.9      2.968      6.221
  10         -7.9      5.451      8.982
  11         -7.9      6.222     14.289
  12         -7.9      7.222     19.032
  13         -7.8      3.081     16.140
  14         -7.8      4.942     10.916
  15         -7.8      5.358     10.895
  16         -7.7      4.819      9.380
  17         -7.7      6.488     19.191
  18         -7.7      4.550      8.609
  19         -7.7      5.233     11.166
Writing output ... done.