###################################################################
# 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: 857240280
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      3.118     14.144
   3         -8.3      3.122     15.001
   4         -8.2      3.007      4.245
   5         -8.1      3.192     14.705
   6         -8.0      2.825      7.202
   7         -7.8     19.769     24.597
   8         -7.8      1.649      2.185
   9         -7.7     21.710     28.512
  10         -7.7      4.522     14.159
  11         -7.7     18.125     23.662
  12         -7.7      4.521     12.264
  13         -7.6      4.445     14.476
  14         -7.6      3.667      5.659
  15         -7.6      3.497     14.766
  16         -7.5      4.094     13.556
  17         -7.5     20.318     26.658
  18         -7.5      3.992      8.513
  19         -7.4      4.008     14.336
  20         -7.4     19.232     24.469
Writing output ... done.