###################################################################
# 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: -886880043
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.5      0.000      0.000
   2         -7.9      6.017     14.272
   3         -7.8      7.274     14.840
   4         -7.8      5.834     11.207
   5         -7.8      5.079     10.436
   6         -7.7      7.557     13.659
   7         -7.6      5.662     11.062
   8         -7.6      6.102     10.887
   9         -7.5      5.329     12.876
  10         -7.5      6.298     14.771
  11         -7.4      8.182     13.324
  12         -7.4      6.800     14.072
  13         -7.3      5.435     10.809
  14         -7.3      6.301     10.885
  15         -7.3      6.598     14.326
  16         -7.3      5.325     10.132
  17         -7.2      5.941     10.719
  18         -7.2      7.362     14.886
  19         -7.2      5.597     13.615
  20         -6.9      7.128     11.139
Writing output ... done.