###################################################################
# 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: -727135845
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.2      0.000      0.000
   2         -7.1      2.730      7.939
   3         -6.7      2.570      6.724
   4         -6.6      2.733      8.030
   5         -6.6      2.888      8.905
   6         -6.5      2.563      9.579
   7         -6.5      2.806      7.324
   8         -6.5      2.487      4.902
   9         -6.4      2.763      8.037
  10         -6.4      3.143      8.786
  11         -6.4      3.083      9.169
  12         -6.4      2.556      7.901
  13         -6.3      3.007      7.532
  14         -6.2      3.672      8.980
  15         -6.2      2.558      7.973
  16         -6.2      2.480      7.877
  17         -6.1      3.283      8.106
  18         -6.1      2.856      8.647
  19         -6.1      2.459      6.199
  20         -6.1      3.345      8.423
Writing output ... done.