###################################################################
# 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: 75691808
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.9      0.000      0.000
   2         -7.8      5.511     14.103
   3         -7.7      6.844     17.696
   4         -7.7      5.424      9.825
   5         -7.6      4.269      6.222
   6         -7.6     20.176     25.829
   7         -7.6     20.452     24.131
   8         -7.6      2.110      2.617
   9         -7.6     23.161     28.283
  10         -7.5     21.221     27.301
  11         -7.5     20.983     24.222
  12         -7.5     21.687     26.017
  13         -7.5      3.856     13.914
  14         -7.4      5.151      8.453
  15         -7.4      5.075     14.413
  16         -7.4      2.692      4.737
  17         -7.3     21.091     24.241
  18         -7.3     23.830     28.729
  19         -7.2     20.912     26.645
  20         -7.2      3.705     14.209
Writing output ... done.