###################################################################
# 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: 358900917
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         -8.2      2.402      8.717
   3         -8.1      1.949      6.380
   4         -8.1      2.676      9.774
   5         -8.1      3.019      7.858
   6         -8.0      4.030     12.650
   7         -8.0      3.657      7.511
   8         -7.9      2.676      7.647
   9         -7.9      2.976     10.367
  10         -7.8      2.364      7.689
  11         -7.8      2.380      6.862
  12         -7.7      2.792     10.472
  13         -7.6      2.885      6.686
  14         -7.6      2.210      5.181
  15         -7.5      3.606      7.702
  16         -7.5      7.620     10.837
  17         -7.5      2.286      5.342
  18         -7.5      2.592      9.052
  19         -7.4      2.789      7.651
  20         -7.4      2.398      5.145
Writing output ... done.