###################################################################
# 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: 222739818
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         -8.5      3.340     13.825
   3         -8.2      4.835     10.023
   4         -8.2      3.245     14.123
   5         -8.2      3.186     13.868
   6         -8.1      3.415     13.704
   7         -8.1      3.233     14.171
   8         -8.0      3.231     14.270
   9         -8.0      4.422      8.910
  10         -8.0      4.850     15.577
  11         -7.9      2.193      4.277
  12         -7.8      3.126     14.174
  13         -7.8      3.628      6.959
  14         -7.8      4.287      8.800
  15         -7.8      4.817     15.261
  16         -7.8      4.793     15.654
  17         -7.6      4.140      8.940
  18         -7.6      4.891     13.419
  19         -7.5      3.613     12.146
  20         -7.4      3.214      7.836
Writing output ... done.