###################################################################
# 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: 1925242734
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.7      0.000      0.000
   2         -6.7     20.848     23.654
   3         -6.7      2.782     10.662
   4         -6.6     20.127     26.039
   5         -6.5     19.302     23.697
   6         -6.4      4.523     10.600
   7         -6.4      2.613      9.718
   8         -6.4     20.386     23.943
   9         -6.4     20.949     25.552
  10         -6.4     19.777     24.104
  11         -6.4     21.725     26.285
  12         -6.4     21.438     25.290
  13         -6.2      2.266      4.404
  14         -6.2     22.161     26.359
  15         -6.2     20.886     25.437
  16         -6.2      2.754     10.637
  17         -6.1     21.506     27.245
  18         -6.1     21.886     25.537
  19         -5.9      3.228      6.174
Writing output ... done.