###################################################################
# 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: 1677203133
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -9.3      0.000      0.000
   2         -8.7      3.221      5.762
   3         -8.5      5.548     11.025
   4         -8.5     16.116     22.269
   5         -8.5      3.540     17.645
   6         -8.4      5.376     11.098
   7         -8.4     16.194     22.714
   8         -8.4      4.620     16.929
   9         -8.4      3.290      6.654
  10         -8.3      3.320      4.914
  11         -8.3      2.548      3.912
  12         -8.3      8.477     17.095
  13         -8.2     16.097     24.335
  14         -8.2      3.679     14.901
  15         -8.1      7.171     14.128
  16         -8.0      3.783     13.623
  17         -8.0      3.408      7.758
  18         -8.0      3.738      7.942
  19         -7.9     10.315     22.910
  20         -7.8     16.158     23.762
Writing output ... done.