###################################################################
# 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: -1704421120
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         -7.6      3.794     14.406
   3         -7.4      3.725     11.352
   4         -7.4      3.183      5.882
   5         -7.3      3.472      9.510
   6         -7.3      3.354     11.073
   7         -7.3      3.271     10.769
   8         -7.2      3.187      9.133
   9         -7.2      2.707      7.028
  10         -7.2      2.423      7.855
  11         -7.1      4.830     10.868
  12         -7.1      3.130      7.626
  13         -7.0      3.101     13.172
  14         -7.0      3.648     10.853
  15         -7.0      3.160      7.830
  16         -7.0      2.713      7.045
  17         -7.0      3.389      7.134
  18         -6.9      4.076     15.311
  19         -6.9      4.046     11.145
  20         -6.8      3.891     11.660
Writing output ... done.