###################################################################
# 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: 491773455
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.3      0.000      0.000
   2         -6.2     19.206     24.306
   3         -6.0     20.156     25.354
   4         -5.9     22.053     26.213
   5         -5.9     20.043     25.315
   6         -5.9     19.425     24.580
   7         -5.9     23.806     27.944
   8         -5.8      3.546      9.502
   9         -5.8     20.195     25.677
  10         -5.8     20.002     24.806
  11         -5.8     31.559     35.470
  12         -5.8     20.900     26.622
  13         -5.8     19.752     25.120
  14         -5.7     31.663     36.371
  15         -5.7      4.565     12.357
  16         -5.6     16.039     20.718
  17         -5.6     23.816     27.271
  18         -5.6     21.786     27.456
  19         -5.5     22.441     26.166
  20         -5.5     20.190     26.026
Writing output ... done.