###################################################################
# 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: 2072475801
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.4      0.000      0.000
   2         -7.3      2.808     15.466
   3         -7.0     10.103     16.340
   4         -7.0      5.432     17.349
   5         -6.9      5.521     11.620
   6         -6.9     19.795     25.796
   7         -6.8      3.288      5.963
   8         -6.8      2.906     14.267
   9         -6.7      2.857     16.141
  10         -6.7      4.348     13.360
  11         -6.7     20.261     25.235
  12         -6.7      6.318     13.863
  13         -6.7     20.235     27.134
  14         -6.6     22.303     28.202
  15         -6.5      5.400     15.800
  16         -6.5      2.993     15.883
  17         -6.5      3.210     12.859
  18         -6.5      4.293      8.841
  19         -6.5      4.120      7.873
  20         -6.4      4.151     14.649
Writing output ... done.