###################################################################
# 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: -697849216
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -8.6      0.000      0.000
   2         -8.4      2.189      4.045
   3         -8.1      2.374      9.956
   4         -7.6      1.979      3.793
   5         -7.5      2.735      5.367
   6         -7.5      2.983     12.211
   7         -7.4      2.556     10.746
   8         -7.4      2.180      3.607
   9         -7.3      2.046      3.289
  10         -7.2     18.155     26.566
  11         -7.2      3.075      7.005
  12         -7.1     21.294     29.149
  13         -7.0      3.645     11.985
  14         -7.0      2.801      8.812
  15         -7.0      2.699      5.162
  16         -7.0     19.706     25.905
  17         -6.9      3.055      5.583
  18         -6.9      2.698      4.350
  19         -6.8      5.050     10.506
  20         -6.8     20.565     25.726
Writing output ... done.