###################################################################
# 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: -1386367463
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -9.1      0.000      0.000
   2         -8.3      3.471     11.858
   3         -8.3      3.025     15.024
   4         -8.3      4.216     12.403
   5         -8.2      4.233      9.046
   6         -8.1      3.550      9.776
   7         -8.0      2.925     12.565
   8         -7.8      3.263     12.259
   9         -7.7      4.435     13.176
  10         -7.7      3.533      8.112
  11         -7.7      3.599      9.855
  12         -7.6      3.601     11.177
  13         -7.5      3.935     12.516
  14         -7.5      3.573     13.623
  15         -7.4      3.052     12.637
  16         -7.4      2.996      7.282
  17         -7.4      4.538      9.672
  18         -7.4      3.514      9.483
  19         -7.2      7.373     15.347
  20         -7.1      4.071      9.390
Writing output ... done.