###################################################################
# 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: 1574163938
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.8      0.000      0.000
   2         -7.2     26.868     31.481
   3         -7.0     23.632     30.233
   4         -6.9     24.672     28.858
   5         -6.9     27.944     33.119
   6         -6.7     23.044     29.564
   7         -6.6     24.612     31.859
   8         -6.6     27.125     32.527
   9         -6.6     25.721     30.729
  10         -6.6     28.050     33.884
  11         -6.5     27.272     33.076
  12         -6.5      3.841     11.339
  13         -6.5      4.322     12.284
  14         -6.5     23.953     29.766
  15         -6.4     27.116     32.667
  16         -6.4     26.826     32.542
  17         -6.4     26.405     31.824
  18         -6.3     28.373     31.821
  19         -6.2     36.016     41.006
  20         -6.1     29.910     33.618
Writing output ... done.