###################################################################
# 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: -1976955308
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.1      0.000      0.000
   2         -7.0      4.320     11.780
   3         -6.8      3.959      7.706
   4         -6.7     19.173     25.352
   5         -6.5      3.337     10.062
   6         -6.5      4.042     10.370
   7         -6.4      6.041     13.889
   8         -6.3      9.012     15.938
   9         -6.3      5.619     12.653
  10         -6.3      3.535      7.549
  11         -6.3      2.954     10.441
  12         -6.3      3.491     11.143
  13         -6.3     20.570     25.823
  14         -6.2      2.986      6.027
  15         -6.2      4.087     11.648
  16         -6.1     20.565     26.278
  17         -6.1      2.931      4.680
  18         -6.1      3.374      7.017
  19         -6.1      3.128     10.583
  20         -6.0      5.469     11.732
Writing output ... done.