###################################################################
# 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: 689842863
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         -6.8      3.415     11.807
   3         -6.8      4.073      9.098
   4         -6.7      5.297     10.441
   5         -6.7      2.540     11.091
   6         -6.5      4.234     12.298
   7         -6.5      4.456     13.232
   8         -6.5      3.521     12.079
   9         -6.5      4.601      9.884
  10         -6.5     17.278     21.931
  11         -6.5      6.117     11.066
  12         -6.5      2.904     10.247
  13         -6.4      5.598     10.670
  14         -6.4     23.982     31.706
  15         -6.4      1.922      2.935
  16         -6.4      4.140      8.961
  17         -6.4      3.929     12.883
  18         -6.4      3.525     12.113
  19         -6.3      4.743      9.513
  20         -6.3      2.866     11.625
Writing output ... done.