###################################################################
# 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: -376334804
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.3      0.000      0.000
   2         -6.3      2.524      6.608
   3         -6.3     21.806     27.054
   4         -6.2      2.747      8.037
   5         -6.1     20.429     25.453
   6         -6.1     20.396     24.680
   7         -6.0      2.369      4.136
   8         -6.0     20.354     25.646
   9         -5.9     20.791     24.431
  10         -5.9      3.575      8.614
  11         -5.9     20.337     24.526
  12         -5.9      3.055      9.094
  13         -5.8     19.883     24.311
  14         -5.8      3.633      9.394
  15         -5.8     21.835     25.631
  16         -5.7      2.870      6.774
  17         -5.7      3.045      7.526
  18         -5.7     19.433     25.887
  19         -5.6     20.051     23.989
  20         -5.6     22.449     27.532
Writing output ... done.