###################################################################
# 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: -1328296308
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.5      0.000      0.000
   2         -6.3      4.304      9.218
   3         -6.3      3.586      9.746
   4         -6.3      4.535     14.347
   5         -6.2     21.257     25.368
   6         -6.2      3.159      7.177
   7         -6.1     22.393     27.196
   8         -6.1      3.501      5.879
   9         -6.0     19.691     22.998
  10         -6.0     18.537     23.779
  11         -6.0     20.794     24.808
  12         -5.9      3.618     13.117
  13         -5.9     22.894     26.925
  14         -5.9     23.067     26.807
  15         -5.8     17.414     23.244
  16         -5.7     15.593     18.667
  17         -5.7      3.611     14.393
  18         -5.6     20.672     25.644
  19         -5.6     21.886     26.380
  20         -5.5      3.445     11.688
Writing output ... done.