###################################################################
# 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: 177015198
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         -8.0      2.477     15.943
   3         -7.9      2.359      4.958
   4         -7.9      2.307      4.154
   5         -7.8      3.166      6.446
   6         -7.8      2.613     16.316
   7         -7.7      2.879      4.945
   8         -7.7      6.674     16.529
   9         -7.7      2.399      4.271
  10         -7.6      3.816      8.374
  11         -7.5      2.968      6.379
  12         -7.5      2.277      4.713
  13         -7.5      4.182     15.660
  14         -7.5      7.078     18.027
  15         -7.4      3.104      6.316
  16         -7.4      7.352     17.325
  17         -7.3      7.378     13.831
  18         -7.3      6.683     17.869
  19         -7.3      2.488      6.309
  20         -7.2      2.554      6.191
Writing output ... done.