###################################################################
# 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: -883844535
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.3      0.000      0.000
   2         -7.3      4.158      7.107
   3         -7.3      2.997     14.557
   4         -7.3      1.769      2.132
   5         -7.3      4.622      7.305
   6         -7.2      1.953      3.102
   7         -7.2      3.207      5.589
   8         -7.1      1.987      2.682
   9         -7.1      6.020     13.988
  10         -7.1     18.901     23.456
  11         -7.0      3.533     15.036
  12         -7.0      3.451     14.722
  13         -7.0      3.330     14.727
  14         -6.9     19.246     24.899
  15         -6.9      4.591      7.641
  16         -6.9     19.385     23.838
  17         -6.8     19.617     24.361
  18         -6.7     27.780     33.605
  19         -6.7      3.101      5.434
Writing output ... done.