###################################################################
# 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: -1390993318
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.6      0.000      0.000
   2         -8.1      2.716     12.691
   3         -8.0      2.986      6.935
   4         -7.9      2.627     10.678
   5         -7.6      2.828     11.662
   6         -7.6     19.068     24.607
   7         -7.6      2.852     10.718
   8         -7.6      3.329     11.499
   9         -7.5     18.230     23.911
  10         -7.5      5.588     16.189
  11         -7.5      4.165     14.000
  12         -7.4      3.225      8.986
  13         -7.4     22.550     26.933
  14         -7.4     19.626     25.091
  15         -7.4     23.145     27.451
  16         -7.4      3.293     13.710
  17         -7.4      3.039      7.692
  18         -7.3      5.664     11.218
  19         -7.3      3.929     14.467
  20         -7.2      6.922     12.602
Writing output ... done.