###################################################################
# 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: -1147619986
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         -7.7      3.363      7.054
   3         -7.3      2.931     11.718
   4         -7.1      2.975     10.618
   5         -7.0      3.159     10.921
   6         -7.0      3.319      7.505
   7         -6.9      3.137     11.115
   8         -6.9      3.032      6.417
   9         -6.9      3.555     11.644
  10         -6.9      2.940      7.785
  11         -6.8      2.819     10.832
  12         -6.7      6.292     11.819
  13         -6.7      2.696     10.819
  14         -6.6      2.707     10.976
  15         -6.6      3.128     11.271
  16         -6.6      3.596      6.461
  17         -6.6      3.013      8.771
  18         -6.6      2.720      7.848
  19         -6.4      3.085     11.491
  20         -6.3      3.246     11.459
Writing output ... done.