###################################################################
# 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: -971949660
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.7      0.000      0.000
   2         -7.5      4.098     14.527
   3         -7.5      3.267     13.370
   4         -7.4      2.999     13.785
   5         -7.4      2.627     13.105
   6         -7.4      3.454      6.275
   7         -7.3      4.412     13.810
   8         -7.3     17.704     21.783
   9         -7.3      5.105     15.965
  10         -7.2      5.346     15.121
  11         -7.2      4.442     14.357
  12         -7.2      6.648     12.096
  13         -7.1      4.104     11.652
  14         -7.1      3.291     12.888
  15         -7.1      3.123     13.734
  16         -7.1      4.146     14.143
  17         -7.0      6.011     16.942
  18         -7.0     19.879     24.569
  19         -7.0     19.805     25.826
  20         -6.9     21.537     25.940
Writing output ... done.