###################################################################
# 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: 1658936372
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -9.0      0.000      0.000
   2         -8.6     19.988     25.827
   3         -8.6     19.467     23.318
   4         -8.5     21.147     25.861
   5         -8.3      5.934     14.533
   6         -8.2     18.944     24.085
   7         -8.2      2.693      4.161
   8         -8.1     20.170     23.557
   9         -8.1     19.760     26.785
  10         -8.1      3.979     15.373
  11         -8.1     20.582     26.672
  12         -7.9      5.380     10.049
  13         -7.9     18.401     24.340
  14         -7.9      2.673      4.518
  15         -7.8     19.473     26.984
  16         -7.8      5.560     16.086
  17         -7.8     19.868     24.235
  18         -7.8      4.429     14.789
  19         -7.8     20.640     23.681
  20         -7.6     24.091     31.644
Writing output ... done.