###################################################################
# 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: 618576471
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.5      0.000      0.000
   2         -7.4      4.117     12.913
   3         -7.2     14.925     20.204
   4         -7.2      5.304     14.139
   5         -7.2      5.381     13.371
   6         -7.0      4.852     13.716
   7         -6.9      4.939     14.188
   8         -6.9      4.913     11.187
   9         -6.9      6.657     12.816
  10         -6.7      9.003     14.210
  11         -6.5     20.023     25.163
  12         -6.5      6.934     13.511
  13         -6.5      7.118     11.313
  14         -6.4      6.469     12.863
  15         -6.4      3.793     12.955
  16         -6.3      7.699     17.073
  17         -6.2      9.411     14.920
  18         -6.1      5.618     12.887
  19         -6.1      5.253      9.240
  20         -6.1     16.832     22.541
Writing output ... done.