###################################################################
# 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: -1209359844
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.4      0.000      0.000
   2         -8.1      3.389     14.453
   3         -8.1      3.660     10.871
   4         -8.1      2.729     13.727
   5         -8.0      3.243     14.549
   6         -7.9     18.713     24.697
   7         -7.8      3.151      8.632
   8         -7.8      4.538     16.308
   9         -7.8     15.722     21.341
  10         -7.8      2.823      7.422
  11         -7.8     17.458     23.791
  12         -7.8      2.943      6.405
  13         -7.7     18.216     23.940
  14         -7.7     22.353     26.488
  15         -7.7      3.938     10.266
  16         -7.7      3.263     11.701
  17         -7.6      4.219     11.957
  18         -7.6      2.922     13.783
  19         -7.6      5.731     17.139
  20         -7.5      2.798     13.393
Writing output ... done.