###################################################################
# 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: -159410120
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -5.9      0.000      0.000
   2         -5.4      3.324      8.762
   3         -5.3      2.359      5.315
   4         -5.3     22.340     30.691
   5         -5.2      4.076      9.263
   6         -5.1      2.794     10.435
   7         -5.1     23.170     29.719
   8         -5.0      3.657      8.654
   9         -5.0      2.720      9.993
  10         -5.0     23.250     26.909
  11         -5.0      3.167     10.464
  12         -5.0      3.870      8.454
  13         -5.0      3.062      9.286
  14         -4.9      5.209     10.592
  15         -4.9      3.074      8.497
  16         -4.9      2.454     10.014
  17         -4.9      3.250     10.171
  18         -4.7     17.895     25.521
  19         -4.7      3.031      8.663
  20         -4.6      2.654      7.623
Writing output ... done.