###################################################################
# 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: 413922588
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.1      0.000      0.000
   2         -6.9     10.352     20.276
   3         -6.6      2.265      6.406
   4         -6.6      7.035     13.988
   5         -6.5      8.228     17.668
   6         -6.5      4.690      9.775
   7         -6.4      8.089     17.000
   8         -6.4      5.458     15.259
   9         -6.4      8.488     14.928
  10         -6.3      2.216      6.071
  11         -6.3      9.172     17.308
  12         -6.3      2.968     13.459
  13         -6.2      5.642     13.371
  14         -6.2      5.157     15.486
  15         -6.1      3.399      6.911
  16         -6.1      5.321     15.895
  17         -6.1      4.991     10.128
  18         -6.1      8.051     17.914
  19         -5.9     16.421     20.048
  20         -5.9     16.122     22.281
Writing output ... done.