###################################################################
# 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: 176787827
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.0      0.000      0.000
   2         -6.9      3.063      8.015
   3         -6.6      2.362      8.159
   4         -6.5      2.794     10.287
   5         -6.5      3.637     11.564
   6         -6.4      3.516     10.809
   7         -6.4      2.022      2.529
   8         -6.3      2.486      9.443
   9         -6.3      2.616      6.372
  10         -6.3      2.277      8.634
  11         -6.3      2.415      4.972
  12         -6.2      2.821      8.739
  13         -6.2      3.067      6.866
  14         -6.2      2.706      7.508
  15         -6.2      3.022      8.852
  16         -6.1      2.660      8.962
  17         -6.1      2.596      7.932
  18         -6.0      3.012     10.958
  19         -5.9      2.581      8.740
  20         -5.8      2.608      7.401
Writing output ... done.