###################################################################
# 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: -1698505688
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -6.9      0.000      0.000
   2         -6.5      3.499     12.300
   3         -6.3      2.766      4.730
   4         -6.2      4.377     12.165
   5         -6.1     19.236     23.930
   6         -6.1      3.462      7.315
   7         -6.0     21.345     27.304
   8         -6.0     21.665     28.548
   9         -5.9      4.576     11.738
  10         -5.9      4.504      9.759
  11         -5.8     19.158     24.650
  12         -5.8     20.848     28.187
  13         -5.7     16.966     22.728
  14         -5.7     16.210     23.629
  15         -5.7     27.064     33.839
  16         -5.6     19.062     23.372
  17         -5.6      4.119      8.947
  18         -5.6     18.004     25.397
  19         -5.5     19.636     23.066
  20         -5.5     15.892     21.519
Writing output ... done.