###################################################################
# 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: 1970657762
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.3      0.000      0.000
   2         -8.3     25.537     29.986
   3         -8.2     17.361     24.557
   4         -8.1      2.561      4.379
   5         -8.1     23.501     29.691
   6         -8.1     25.743     30.991
   7         -8.0      3.215     16.238
   8         -7.9     24.431     32.300
   9         -7.8     15.758     25.046
  10         -7.8     25.565     29.999
  11         -7.8     29.211     35.127
  12         -7.7     27.068     33.844
  13         -7.7      5.121     15.465
  14         -7.7     24.587     31.312
  15         -7.7      7.484     13.471
  16         -7.6     28.672     34.387
  17         -7.6     22.933     28.927
  18         -7.6      7.760     14.303
  19         -7.6      5.816     11.566
  20         -7.5     17.990     28.786
Writing output ... done.