###################################################################
# 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: -504231200
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.2      0.000      0.000
   2         -7.1      5.039     10.275
   3         -7.1      7.721     11.663
   4         -7.1      7.671     14.652
   5         -7.0     15.733     20.517
   6         -7.0     31.871     35.845
   7         -7.0     29.260     34.776
   8         -6.9     23.981     31.167
   9         -6.9     29.912     35.299
  10         -6.9     28.281     32.280
  11         -6.9     11.509     17.257
  12         -6.9     32.257     35.750
  13         -6.8     32.294     35.512
  14         -6.8     14.047     19.607
  15         -6.8     30.031     35.682
  16         -6.7      7.897     11.745
  17         -6.6     12.824     16.977
  18         -6.6      8.939     17.126
  19         -6.5     17.898     23.424
  20         -6.5     29.882     34.443
Writing output ... done.