###################################################################
# 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: 392770984
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.2      0.000      0.000
   2         -6.1      2.773      5.095
   3         -6.0      4.851     14.464
   4         -6.0     29.383     35.564
   5         -6.0      4.388     12.385
   6         -6.0     25.945     32.974
   7         -5.9      4.642     10.279
   8         -5.9      4.156      7.341
   9         -5.9      3.442     12.470
  10         -5.9     26.178     33.166
  11         -5.8      5.199     15.069
  12         -5.8     26.298     32.937
  13         -5.8     24.890     31.647
  14         -5.7     23.724     31.668
  15         -5.6     27.090     33.358
  16         -5.5      5.334     15.586
  17         -5.4     28.289     36.031
  18         -5.4     27.766     33.550
Writing output ... done.