###################################################################
# 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: -457515228
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         -7.7      2.832     11.010
   3         -7.6      2.245     11.534
   4         -7.0      3.484      6.186
   5         -7.0     21.782     28.358
   6         -6.9      4.589      9.080
   7         -6.9      2.763      5.220
   8         -6.9      5.283     11.104
   9         -6.9      2.686     12.130
  10         -6.8      2.647      5.494
  11         -6.8      2.787      5.184
  12         -6.8      2.828      7.661
  13         -6.8      3.320     11.926
  14         -6.7      2.905      5.310
  15         -6.7      2.629      4.971
  16         -6.6      2.953      5.079
  17         -6.6     23.043     28.449
  18         -6.4      3.815      7.600
  19         -6.4     21.941     27.838
  20         -6.4      6.450     12.414
Writing output ... done.