###################################################################
# 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: -1703023899
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      3.766      7.643
   3         -7.0     12.615     19.134
   4         -6.8      3.342      6.801
   5         -6.8     12.485     21.703
   6         -6.8      5.737      9.374
   7         -6.8      4.988     11.549
   8         -6.8     19.463     25.596
   9         -6.7      3.578      6.631
  10         -6.7      7.130     12.257
  11         -6.7     12.633     23.045
  12         -6.7     19.496     27.190
  13         -6.6      7.996     12.927
  14         -6.6     18.648     26.578
  15         -6.5      4.467     11.211
  16         -6.5      6.611     17.079
  17         -6.5      4.270     10.264
  18         -6.5     25.024     31.269
  19         -6.4     18.006     28.497
  20         -6.3      6.903     15.410
Writing output ... done.